Applications in industry and technology Books

Book SynopsisMeghan Casey owns Do Better Content Consulting. She helps a wide variety of clientsfrom startups, nonprofits, colleges and universities, Fortune 50 companies, and everything in betweensolve the messy content problems most organizations encounter every day. Meghan has also helped several agencies and clients build their capacity to do content strategy. Perhaps her proudest moments are when content strategy practitioners tell Meghan that the first edition of this book helped them launch their content strategy career, tackle a difficult content project, or get a promotion. A regular trainer and speaker on content strategy topics, she once inspired participants to spontaneously do the wave in a workshop setting. Yep, that really happened. Meghan has been working with content and communications since 1996, after receiving her Bachelor of Arts degree in writing from Concordia College. She also holds a Master of Arts in nonprofit management from Hamline University.Table of ContentsPART I: GET BUDGET AND BUY-IN 1 IDENTIFY PROBLEMS AND OPPORTUNITIES 2 CONVINCE LEADERS AND GET THE RESOURCES PART II: SET UP FOR SUCCESS 3 GET STAKEHOLDERS ON BOARD 4 ASSEMBLE YOUR CROSS‑DISCIPLINE TEAM 5 PREPARE FOR CHANGE PART III: DIG IN AND GET THE DIRT 6 UNDERSTAND YOUR BUSINESS ENVIRONMENT 7 LEARN ABOUT YOUR AUDIENCE AND USERS 8 GET FAMILIAR WITH YOUR CONTENT 9 EVALUATE YOUR PROCESSES PART IV: ARTICULATE YOUR STRATEGY 10 ALIGN ON A STRATEGIC FOUNDATION 11 SET YOUR CONTENT COMPASS PART V: DESIGN YOUR CONTENT 12 PRIORITIZE BASED ON YOUR STRATEGY 13 ORGANIZE FOR INTUITIVE WAYFINDING 14 DEFINE THE CONTENT EXPERIENCE 15 SPECIFY CONTENT STRUCTURE AND REQUIREMENTS PART VI: IMPLEMENT AND EVOLVE 16 DEFINE HOW YOU'LL GOVERN YOUR CONTENT 17 BUILD OUT YOUR CONTENT PLAYBOOK

Read more less

Book SynopsisTable of ContentsGetting Started 1 Getting Acquainted 2 Creating Graphics and Text 3 Animating Symbols 4 Advanced Motion Tweening 5 Character Animation with Tweens 6 Character Animation with Bones 7 Animating the Camera 8 Animating Shapes and Using Masks 9 Creating Interactive Navigation 10 Working with Sound and Video 11 Publishing Index

Read more less

Book SynopsisKelly Kordes Anton has written and edited dozens of books and training resources on publishing technologies and InDesign, including nine previous editions of Adobe InDesign Classroom in a Book. She is a freelance writer based in Littleton, Colorado, and she also writes about ergonomics and lean manufacturing. Tina DeJarld has worked on the front lines of taking designs from the computer screen to real-world production since before InDesign 1.0. She is highly accomplished in both prepress and graphic design production and passionate about building files that will work correctly. Tina has handled thousands of large and complex projects, becoming an expert on InDesign best practices and techniques. Tina is currently a senior production artist at thePub, a production studio in Chicago.Table of ContentsGetting Started 1 Introducing the Workspace 2 Getting to Know InDesign 3 Setting Up a Document and Working with Pages 4 Working with Objects 5 Working with Color 6 Flowing Text 7 Editing Text 8 Working with Typography 9 Working with Styles 10 Creating Tables 11 Importing and Modifying Graphics 12 Working with Transparency 13 Printing and Exporting 14 Creating Adobe PDF Files with Form Fields 15 Creating a Fixed-Layout ePub and Publishing Online

Read more less

Book Synopsis

Read more less

Book Synopsis

Read more less

Book SynopsisFrank Mittelbach is the lead author of The LaTeX Companion, Third Edition, and is series editor of Addison-Wesley's Tools and Techniques for Computer Typesetting series. He is also technical lead of the LaTeX Project and, along with overseeing the original major release of LaTeX2_e in 1994, he has overseen the 36 subsequent releases of this software. Frank is author or coauthor of several books and of many and varied LaTeX extension packages, such as AMS-LaTeX, doc, multicol, and NFSS: the New Font Selection Scheme. He is on the board of the International Gutenberg Society, an international association for the study of the history and development of printing technology and font-oriented media, where he focuses on the more recent period. He is currently leading a multi-year project for automatically producing tagged and accessible PDF output from LaTeX. Ulrike Fischer lives with her husband in Bonn, Germany. After studying mathematics at the University of Bonn, Ulrike became interested in the internal handling of fonts and in chess typesetting. With the help of the first edition of The LaTeX Companion, she wrote at the chessfss package, which allows users to choose between various chess fonts, and other chess-related packages. She joined the LaTeX Project after the TUG meeting in Rio de Janeiro, where she presented her package tagpdf to create tagged PDFs to the team members. Together with other members of the LaTeX Project she now maintains various packages including luaotfload, hyperref, xcolor, the new LaTeX PDF management code and more.Table of ContentsList of Figures xxiiList of Tables xxivForeword, Part II xxixPreface, Part II xxxi Chapter 10: Text and Symbol Fonts 110.1 Overview 210.2 Samples of larger font families 1110.3 Humanist (Oldstyle) serif fonts 3610.4 Garalde (Oldstyle) serif fonts 3810.5 Transitional/Neoclassical serif fonts 4610.6 Didone (Modern) serif fonts 6010.7 Slab serif (Egyptian) fonts 6410.8 Sans serif fonts 6710.9 Monospaced (typewriter) fonts 8810.10 Historical and other fonts 9710.11 Fonts supporting Latin and polytonic Greek 10610.12 Fonts supporting Latin and Cyrillic 11010.13 The LaTeX world of symbols 113 Chapter 11: Higher Mathematics 12711.1 Introduction to amsmath and mathtools 12811.2 Display and alignment structures for equations 13111.3 Matrix-like environments 15311.4 Compound structures and decorations 16311.5 Variable symbol commands18011.6 Words in mathematics 19111.7 Fine-tuning the mathematical layout 19411.8 Symbols in formulas 208 Chapter 12: Fonts in formulas 22512.1 The world of (Latin) math alphabets 22612.2 Making it bold 23512.3 Traditional math font setup through packages 23812.4 unicode-math -- Using Unicode math fonts 25312.5 A visual comparison of different math setups 261 Chapter 13: Localizing documents 29713.1 TeX and non–English languages 29713.2 The babel user interface 30113.3 User commands provided by language options 30813.4 Support for Cyrillic and Greek 32413.5 Complex scripts 33013.6 Tailoring babel 33213.7 Other approaches 341 Chapter 14: Index Generation 34314.1 Syntax of the index entries 34514.2 MakeIndex -- A program to sort and format indexes 35014.3 upmendex -- A Unicode-aware indexing program 36414.4 xindy, xindex -- Two other indexing programs 37014.5 Enhancing the index with LATEX features 371 Chapter 15: Bibliography Generation 37515.1 The standard LaTeX bibliography environment 37615.2 The biber and BibTeX programs37815.3 The BibTeX database format 38015.4 Using BibTeX or biber to produce the bibliography 40915.5 On-line bibliographies 41315.6 Bibliography database management tools 41415.7 Formatting the bibliography with styles 418 Chapter 16: Managing Citations 46916.1 Introduction 46916.2 The number-only system 47316.3 The author-date system 48716.4 The author-number system 50216.5 The author-title system 50716.6 The verbose system 53716.7 biblatex -- One ring to rule them all 54116.8 Multiple bibliographies in one document 569 Chapter 17: LaTeX Package Documentation Tools 58317.1 doc -- Documenting LaTeX and other code 58417.2 docstrip.tex -- Producing ready-to-run code 59917.3 l3build -- A versatile development environment 60617.4 Making use of version control tools 615 Appendix A: LaTeX Overview for Preamble, Package, and Class Writers 621A.1 Linking markup and formatting 622A.2 Counters and length expressions 646A.3 Page markup -- Boxes and rules 660A.4 LaTeX's hook management 671A.5 Control structure extensions 685A.6 Package and class file structure 693 Appendix B: Tracing and Resolving Problems 711B.1 Error messages 712B.2 Dying with memory exceeded 744B.3 Warnings and informational messages 749B.4 TeX and LaTeX commands for tracing 765 Appendix C: Going beyond 783C.1 Learn LaTeX -- A LaTeX online course for beginners 784C.2 Finding information available on your computer 785C.3 Accessing online information and getting help 787C.4 Getting all those TeX files 789C.5 Giving back to the community 792 Bibliography 795Index of Commands and Concepts 805People 955Biographies 961Production Notes 965

Read more less

Book SynopsisThis book is a compelling and comprehensive guide to data science, emphasizing its real-world business applications and focusing on how to collaborate productively with data science teams.Trade ReviewEngaging in data science requires diplomacy for maximal impact. Namely, understanding the norms and priorities of data professionals helps you to spot risks and opportunities. As experienced, trusted data science advisors, and by providing valuable examples, Friedman and Swaminathan open a new data-driven world that spans every single industry vertical. -- Armen Kherlopian, CEO and Partner, Covenant Venture CapitalWinning with Data Science is refreshingly practical and clear. It’s also fun and empowering. After reading it, you’ll be more savvy about working with data teams and more valuable to your company. You may even become the envy of your colleagues (and competitors), who will wonder how you got so smart. -- Steven Strogatz, Susan and Barton Winokur Distinguished Professor for the Public Understanding of Science and Mathematics, Cornell University, and author of Infinite PowersFriedman and Swaminathan have taken the complex topic of data science and made it accessible to everyone. Their creative use of characters, situations, and meaningful examples serve to demystify how to think about the field, how to use data science to solve everyday problems, and how to interact with data scientists to ensure successful projects. An excellent read, even for people who (think they) know a little about the field of data science! -- Melvin (Skip) Olson, global head, Integrated Evidence Strategy and Innovation, Novartis Pharma AGWinning with Data Science addresses a critical but often ignored obstacle in data science: the knowledge gap between business stakeholders and technical teams. This book cuts through data science buzzwords and empowers readers with the knowledge to cultivate thriving data cultures. Distinguishing itself from others, this book prioritizes effective communication and collaboration within the data science sphere, facilitating deeper discussions on intricate technical subjects. -- Jeff Chen, former chief data scientist of the U.S. Department of Commerce and coauthor of Data Science for Public PolicyA terrific work. Winning with Data Science expertly takes readers through daily 'data lives,' struggles with business problems, and the data science concepts that can help address them. -- Paul W. Thurman, Columbia University Mailman School of Public Health, and author of MBA Fundamentals: StatisticsFriedman and Swaminathan provide a deep understanding of data science methodologies to managers, striking exactly the right balance of complexity and accessibility. -- Kim Sweeny, Principal Projects Officer, Institute for Sustainable Industries & Liveable Cities, Victoria UniversityIn today's digital age, data is king. And for business leaders, extracting insights and using them to drive informed decisions is more crucial than ever. . . . If [you] want to speak the language of data and harness its potential, Winning with Data Science is a must-read. -- Ken Kuang, entrepreneur, and Founder, Torrey Hills TechnologiesBy the end of the book, you'll feel like a pro in talking about data, even if you're not a tech expert. -- Nirali Mehta, Founder and CEO, PHARMA-STATSWinning with Data Science tackles the complex topic of data science and simplifies it to make it accessible to anyone, enabling a more data-driven culture at your organization. -- David Mathison, CEO, Chief AI Officer Summit, CDO Club, and CDO SummitTable of ContentsAcknowledgmentsIntroduction1. Tools of the Trade2. The Data Science Project3. Data Science Foundations4. Making Decisions with Data5. Clustering, Segmenting, and Cutting Through the Noise6. Building Your First Model7. Tools for Machine Learning8. Pulling It Together9. EthicsConclusionNotesIndex

Read more less

Book SynopsisTable of ContentsDraft format and toc 1.The History of the CT Scan: How Computer-Assisted Tomography Changed the Landscape of Surgical Planning. We will review the advent of the CT scan, the evolution of CT technology, the different types of CT, and how the advances in technology led to the ability to model and plan surgeries. 2. DiY Stereolithography and 3D Printing The reader will learn about the history of stereolithography (3D models), the indications for stereolithography (when to use it), and given a "how to do it yourself" course enabling them to make their own 3D printed models in preparation of surgery (video). 3. Virtual Surgical Planning in Orthognathic Surgery: A Practical Workflow The reader will be given practical steps on how to plan for an orthognathic case, starting with a CT scan, appropriate models, and planning goals. 4. Virtual Surgical Planning in Head and Neck Reconstruction: A Practical Workflow The reader will be given practical steps on how to plan for a head and neck oncologic case, starting with a CT scan, appropriate models, and planning goals. 5. Virtual Surgical Planning in Cranial Surgery and Craniosynostosis: A Practical Workflow The reader will be given practical steps on how to plan for a cranial surgery (skull) case, starting with a CT scan, appropriate models, and planning goals. 6. ABC in Surgical Navigation The reader will learn the techniques of using navigation and computer-assisted guidance in the operating room with informative videos from illustrative cases. 7. Virtual Reality in Craniofacial Surgery The reader will get a primer on the use of virtual reality and augmented reality in surgical planning and in the operating room. 8. Robots in Craniofacial Surgery The reader will be given a futuristic view of the use of robots in craniofacial surgical cases

Read more less

Book Synopsis

Read more less

Book SynopsisAmazon's despoticautomation and surveillance technologies may well be its downfallTrade Review'This accessible and richly detailed book brings together fascinating interviews with Italian Amazon workers, historical and economic analysis, and thoughtful critique' -- Lisa Nakamura, Lisa Nakamura, Director of the Digital Studies Institute and the Gwendolyn Calvert Baker Collegiate Professor of American Culture at the University of Michigan'Delfanti has done here what more critics of Amazon should - listen carefully to the people whose work makes the corporation function. Those of us fighting for a better future than Amazon's dystopia have much to learn from this book' -- Dania Rajendra, Inaugural Director, Athena Coalition‘Takes us to the heart of Amazon’s empire and masterfully unpacks the intensive labor, hyper-surveillance, and gamification of work that warehouse laborers experience each day’ -- Veena Dubal, Professor of Law, University of California, Hastings College of Law‘Deftly examines the dichotomy between Amazon's public personas and its union-busting, worker-surveilling behavior in fulfillment centers around the world’ -- ‘Engadget’Table of ContentsList of figures A note on methods Acknowledgments 1. Relentless 2. Work hard 3. Have fun 4. Customer obsession 5. Reimagine now 6. Make history Notes Index

Read more less

Book SynopsisUnlocking the Metaverse Highly comprehensive resource providing insight into how the Metaverse, and digital worlds in general, can be leveraged for business success Unlocking the Metaverse focuses on the strategic implementation of processes and the execution of Metaverse strategies, technologies, and innovations and provides readers with real world tools and strategies to succeed with market demands. The text provides a clear and concise description of what the Metaverse is and what its value means to readers and their companies. A continuous interaction with readers inside the book's virtual world in the Metaverse provides both structured and unstructured interactions with the highly qualified author and his guests in periodic and ongoing public events, serving as a repository of continuous learning and a sandbox for continuous innovations to be explored, analyzed, and reported. Unlocking the Metaverse covers sample topics such as: ConTable of ContentsAbout the Author ix Acknowledgments xi List of Acronyms xiii Introduction: How to Use This Book xv Chapter 1: Definitions 1 Metaverse 1 Digital Twin 4 Virtual Worlds 6 Blockchain 7 Fungible Token (FT) 8 Non-fungible Token (NFT) 8 Smart Contracts 9 Tokenomics 11 GPT 11 Chapter 2: Digital Twins, Virtual Worlds, and the Metaverse 14 Digital Twins 14 Gaming 20 Monetization 22 Virtual Worlds 23 Reality Capture and Motion Capture 24 Chase Olson – Reality Capture 25 Avatars 30 Avatar Interface 31 Avatars as Metahumans/Humanoids (MoCap) 32 NPCs as Reference Oracles 32 Virtual Worlds in the Metaverse Examples 34 Cybersecurity and Safety 37 Metaverse 38 Industrial Metaverse 41 Chapter 3: Metaverse Mechanisms and Solutions 44 Blockchain 45 Workflows 46 Capital Asset Delivery Using Smart Contracts Workflow 46 Construction Documents as the Digital DNA of the Built Environment 47 Ethereum blockchain 47 Digital Twin 48 Geo Location and Workflow 48 Facility Management 49 Challenges 49 Governance in a Decentralized Digital Environment 51 Cybersecurity 51 Trust 52 Data 53 Avatars 53 Smart Contracts 53 Value Propositions 53 Increased Efficiency 54 Improved Data Collection and Analysis 54 Accurate and Trusted Facility Data and Information 54 Tokenomics 55 Woven Collisions: NFTs and the Metaverse 56 LOE 58 Real-Estate-Backed Digital Asset Securities 59 Web 3 60 AI 61 GPT 63 ChatGPT Model 65 Chapter 4: The Crystal Ball 67 Scarcity and Abundance 69 Edge Computing 70 Censorship 72 Thought Leader Interviews 73 Damon Hernandez – The Metaverse 73 Hugh Seaton – Data 86 Cody Nowak – Process 97 Arol Wolford – The Industry's Future 104 Conclusion 109 Index 113

Read more less

Book SynopsisThis publication is sponsored by the American Association for Medical Systems and Informatics. The Board of AAMSI and the Board of the Society for Computer Medicine, one of AAMSI''s predecessors, agreed that a book on application of medical systems and informatics for the practitioner would help promote high quality health care and they charged the Committee on Standards of the Society for Computer Medicine to write such a text. It is intended as a guide for the field of medical systems and informatics with emphasis on standards, terminology, and coding systems. The text, a result of three years of research and effort, has been reviewed by the Board of Directors of AAMSI and approved by the Publications Committee. We believe that you will find it valuable and hope to revise it from time to time to meet current needs. On behalf of the members of the Association, we congratulate thTable of ContentsI Introduction to Accounting Systems.- 1 Beyond Billing: Some Things You Should Know Before You Begin.- 2 What Sort of Data Should Be Collected and Why?.- 3 The Accounting Module.- II Introduction to Administrative Systems.- 4 The Administration Module.- III Introduction to Health Care Delivery Systems.- 5 How Computers Can Help in Patient Care and Practice (Health Care Delivery).- 6 How Physician Professional Education and Development Can Be Enhanced by Computers.- 7 The Medical Record Summary, Contents, and Utilization.- 8 History Gathering Techniques Via the Computer.- 9 Supervising and Keeping Track of Patient Care.- 10 Quality Assessment and Quality Control of Patient Care.- 11 Patient/Parent/Family Educational Assists.- IV Introduction to Planning, Vendors, and Implementation.- 12 Planning for Automation: The Total Office Practice System.- 13 Be Prepared to Give, Not Receive, the Sales Pitch.- 14 Problems with System Implementation.- 15 Office Computing and the Right to Privacy.- 16 Summary.- Appendices.

Read more less

Book SynopsisImplement a basic Enterprise Architecture from start to finish using a four-stage, wheel-based approach. Aided by real-world examples, this book shows what elements are needed for the initial implementation of a fundamental Enterprise Architecture. The book's pragmatic approach keeps existing architecture frameworks and methodologies in mind while providing instructions that are readable and applicable to all. The Enterprise Architecture Implementation Wheel builds on the methodology of existing architecture frameworks and allows you to apply the theory more pragmatically and closer to the reality that an architect encounters in daily practice. While the main focus of the book is on the actual steps taken to design an Enterprise Architecture, other important topics include architecture origin, definition, domains, visualization, and roles. Getting Started with Enterprise Architecture is the ideal handbook for the architect who is asked to implement an Enterprise Architecture in an Table of ContentsChapter 1 IntroductionChapter goal: Provide a short introduction into why this book was written and what the readers can expect.Chapter 2 Architecture originChapter goal: This chapter describes the origins of Enterprise Architecture. What created the need for structure to which Enterprise Architecture proved to be the answer? A timeline is used to provide insight into the key events that led to the emergence, evolution, and maturation of architecture. Finally, a brief explanation of the structure of the two best-known architecture frameworks (the Zachman Framework™ and the TOGAF Standard) is provided. The chapter concludes with the similarities and differences between the two frameworks.• Timeline• Zachman Framework• The Open Group Architecture Framework (TOGAF)• Similarities and differencesChapter 3 Architecture definitionChapter goal: In Chapter 3, the definition of architecture is given. We learn that there are several definitions and that each interpretation of the field has a different point of view. The various definitions are all correct in themselves, even though they differ slightly from each other. Giving an unambiguous definition of architecture turns out to be not so easy.Chapter 4 Architecture domainsChapter goal: The present chapter discusses and explains the existence of architecture layers and domains. The importance of information concepts is discussed as the main factor for the introduction of an additional architecture domain; Information Architecture.Chapter 5 Architecture rolesChapter goal: Chapter 5 examines the growth of the profession and the relationship of that growth to the emergence of the motley collection of architecture roles. The role of the Enterprise Architect is described in more detail, and the similarities between this role and that of the Business Architect are noted. Other architecture roles are briefly reviewed to give an idea of the variety of roles that have emerged over the years.• Enterprise ArchitectChapter 6 Architecture visualizationChapter goal: This chapter focuses on visualizing the architecture. In order to communicate with the organization and its stakeholders, it is necessary to use a common language. This emphasizes the importance of consistency in the method of communication, as well as the use of uniformity. To achieve this, a unified modeling language must be used when visualizing architectural models and diagrams.Chapter 6 also discusses the origins of the modeling language and identifies and explains the architectural elements used in this book. The architecture products (deliverables) catalog, matrix, diagram, and map are discussed, and the importance of using a good architecture tool is emphasized. Finally, the need for an architecture repository is addressed, and reasons are given why products such as an office suite are inadequate.• Uniform modeling languageo Architecture elements• Catalogs, matrices and diagrams• The right toolseto Architecture RepositoryChapter 7 Architecture positioningChapter goal: Chapter 7 looks at how architecture can be positioned in an organization. The four different ways described by the TOGAF Standard are each briefly explained, and the implications of each positioning are noted. Examples of architecture work appropriate to each positioning are also given.Chapter 8 Architecture implementationChapter goal: Chapter 8 describes the actual implementation of a basic Enterprise Architecture. Guided by the Enterprise Architecture Implementation Wheel and using clearly defined architecture products (deliverables), each domain of the Enterprise Architecture is mapped out. Each of the stages defined in the Enterprise Architecture Implementation Wheel is covered in detail. The stages of documenting, defining, implementing and monitoring are discussed step by step. Through personal experience, examples, and detailed explanations, the reader works toward implementing a basic Enterprise Architecture.• Documento Informationo Stakeholders• Defineo Maturityo Frameworko Strategy• Executeo Strategyo Roadmap• Controlo Measure progressChapter 9 Next stepsChapter goal: Chapter 9 discusses the steps that can be taken after the basic Enterprise Architecture has been implemented. In doing so, it looks beyond the horizon of the initial implementation and provides guidance for further expansion and growth in the maturity of the Enterprise Architecture. For each stage of the Enterprise Architecture Implementation Wheel, it identifies the growth opportunities that exist and the architecture products that can play a role in further maturing the Enterprise Architecture.Chapter 10 Architecture applicationChapter goal: Chapter 10 uses a very concrete example to show how an implemented basic Enterprise Architecture can be used to address a strategic issue. The example uses a fictitious organization facing a challenge. The application of the various Enterprise Architecture products illustrates and emphasizes the structure that a baseline implementation can provide in moving from strategy to execution.

Read more less

Book SynopsisStatistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine.Trade ReviewFrom the reviews:"Overall, the book provides an excellent reviewof DTRs up to date. After finishing reading the book, I planned to create a post-graduate seminar course on this topic using this book as a textbook. I enthusiastically recommend this book. This book will be a valuable reference for anyone interested and involved in research on personalized medicine." (Hyonggin An, Journal of Agricultural, Biological, and Environmental Statistics, April, 2015)“The intended audience includes physicians, clinical researchers, physicians in training, statisticians, and medical students, as well as master’s and doctoral students in the field of biostatistics and epidemiology and computer scientists. … This book provides a concise summary of the key findings in the statistical literature of dynamic treatment regimes. … The simple language and well-organized chapters are unsurpassed attributes of this book. It will be an exceptional resource for quick review.” (Parthiv Amin, Doody’s Book Reviews, November, 2013)Table of ContentsIntroduction.- The Data: Observational Studies and Sequentially Randomized Trials.- Statistical Reinforcement Learning.- Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes.- Estimation of Optimal DTRs by Directly Modeling Regimes.- G-computation: Parametric Estimation of Optimal DTRs.- Estimation DTRs for Alternative Outcome Types.- Inference and Non-regularity.- Additional Considerations and Final Thoughts.- Glossary.- Index.- References.

Read more less

Book SynopsisFor however smart your Roomba or Alexa might seem, historically, robots have been fairly dumb. They are only able to do their jobs when given a narrow set of tasks, confined in a controlled environment, and overseen by a human operator. But things are changing. A new breed of robots is in development that will operate largely on their own. They'll drive on roads and sidewalks, ferry deliveries within buildings, stock shelves in stores, and coordinate teams of doctors and nurses. These autonomous systems will find their way into busy, often unpredictable public spaces. They could be truly collaborative, augmenting human work by attending to the parts of tasks we don't do as well, without our having to stop and direct them. But consider, for a moment, the sorcerer's apprentice. The broom he set to work was also supposed to be collaborative, too, and should have made his life much easier. But the broom didn't know how to behave, and the apprentice no longer understood the thing he had made. The challenge of this next generation of robots is that, like the apprentice's broom, they will wreak complete havoc, inadvertently hurting or even killing people, unless we can recognize a simple truth: collaborative robots will be the first truly social creatures that technology has created. They will need to know how to behave in unfamiliar spaces and around untrained users and bystanders.Robot experts Julie Shah and Laura Major are among those engineers leading the development of collaborative robots, and in this book, they will offer their vision for how to make it in the new era of human-robot collaboration. They set out the blueprint for what they call working robots, which in many ways resemble service animals, and take readers through the many fascinating and surprising challenges that both engineers and the public will need to address in figuring out these machines can be responsibly integrated into society: what they will have to look like, how they will have to talk to strangers and what robot etiquette will be, whether we will have to "robot-proof" public spaces and infrastructure, and how the safety-critical work of human-robot collaboration will force a sea change in how the tech industry is regulated. Today, we still gawk at a car that drives by without a driver. Tomorrow, you might find yourself driving next to five of them. We can debate whether the singularity will ever come, but robots need not be superintelligent in order to revolutionize our relationship to technology. Read this book to find out how.

Read more less

Book Synopsis- Practical in its scope and coverage, the authors have provided a tool-kit for the medical professional in the often complex field of medical informatics - All editors are from the Geisinger Health System, which has one of the largest Electron Health systmes in the USA, and is high in the list of the AMIA "100 Most Wire" healthcare systems - Describes the latest successes and pitfalls Table of ContentsIntroduction.- Preparation.- Organizational Climate.- Needs Assessment.- Vendor Selection and Contract Negotiation.- Infrastructure.- Workflow Assessment and Redesign.- Staffing and Managing Implementation Teams.- Support.- Usability.- Training.- Clinical Decision Support.- Translating Scope of Practice into Effective EHR Workflows.- System Integration.- Production Support.- Managing the Client-Vendor Partnership.- Implementation.- Phased Implementation.- Optimizing Primary-Care Practices.- Optimizing Specialty Practices.- Special-Purpose Software.- Optimizing Inpatient Care.- Extending EHR Access to Patients.- Extending EHR Access to External Physicians.- Summary and Prospect.

Read more less

Book SynopsisThis book provides a practically applicable guide to designing evidence-based medical apps and mHealth interventions. It features detailed guidance and case studies where applicable on the best practices and available techniques from both technological (platform technologies, toolkits, sensors) and research perspectives. This approach enables the reader to develop a deep understanding of how to collect the appropriate data and work with users to build a user friendly app for their target audience. Information on how researchers and designers can communicate their intentions with a variety of stakeholders including medical practitioners, developers and researchers to ensure the best possible decisions are made during the development process to produce an app of optimal quality that also considers usability. Developing Medical Apps and mHealth Interventions comprehensively covers the development of medical and health apps for researchers, informaticians and physicians, and is a valuable resource for the experienced professional and trainee seeking a text on how to develop user friendly medical apps.Table of ContentsIntroduction to mHealth.- Project development methodologies, management and data modelling.- Designing an mHealth intervention.- Application development and testing.- Data collection, storage and security.- Feeding back information to patients and users with visualisations.- Usability testing and deployment.- Designing an mHealth evaluation.- Data analysis methods.

Read more less

Book SynopsisThis textbook provides a detailed resource introducing the subdiscipline of mental health informatics. It systematically reviews the methods, paradigms, tools and knowledge base in both clinical and bioinformatics and across the spectrum from research to clinical care. Key foundational technologies, such as terminologies, ontologies and data exchange standards are presented and given context within the complex landscape of mental health conditions, research and care. The learning health system model is utilized to emphasize the bi-directional nature of the translational science associated with mental health processes. Descriptions of the data, technologies, paradigms and products that are generated by and used in each process and their limitations are discussed. Mental Health Informatics: Enabling a Learning Mental Healthcare System is a comprehensive introductory resource for students, educators and researchers in mental health informatics and related behavioral sciences. It is an ideal resource for use in a survey course for both pre- and post-doctoral training programs, as well as for healthcare administrators, funding entities, vendors and product developers working to make mental healthcare more evidence-based. Table of ContentsPrecision Medicine and the Learning Health System.- What is Informatics?.- What is Mental Health?.- Epistemological Differences between the Behavioral and Biological Sciences.- What is Mental Health Informatics?.- Big Picture: Process View of Mental Health Care Delivery.- Introduction to Technologies for Data Acquisition in Mental Health.- Informatics Technologies for the Acquisition of Biological Data.- Informatics Technologies for the Acquisition of Psychological and Behavioral Data.- Informatics Technologies for the Acquisition of Interpersonal, Social and Environmental Data: The Exosome.- Informatics Technologies for the Acquisition of Population Level Data.- Introduction to Methods for Extracting Meaningful Information from Data in Mental Health.- Concept and Knowledge Representation to Transform Data into Information in Mental Health.- Bioinformatics Methods in Mental Health Research and Practice.- Psychometric Methods.- Computational Models and Analytic Methods.- Natural Language Processing in Mental Health Research and Practice.- Introduction to Paradigms for Knowledge Discovery in Mental Health.- Paradigms for Knowledge Discovery in Clinical and Research Data Repositories.- Biomarker Discovery.- Data Visualization.- Inferential Analysis and Predictive Modeling.- The Role of Biological Information in Mental Health Research and Practice.- Electronic Health Record (EHR) Systems in Mental Health.- Computerized Clinical Decision Support in Mental Health.- Informatics Technologies in Detection and Diagnosis of Mental Health Conditions.- Informatics Technologies in Prevention and Treatment of Mental Health Conditions.- Informatics Technologies for Care Coordination and Continuity of Care.- Informatics Technologies to Improve Patient Safety in Mental Health.- Registries.- Disseminating Newly Acquired Knowledge.- Ethical Legal and Social Issues (ELSI).- The Future of Mental Health Informatics.

Read more less

Book SynopsisThis book provides a unique introduction to the vast field of Medical Imaging Informatics for students and physicians by depicting the basics of the different areas in Radiology Informatics. It features short chapters on the different main areas in Medical Imaging Informatics, such as Picture Archiving and Communication Systems (PACS), radiology reporting, data sharing, and de-identification and anonymization, as well as standards like Digital Imaging and Communications in Medicine (DICOM), Integrating the Health Enterprise (IHE) and Health Level 7 (HL7,. Written by experts in the respective fields and endorsed by the European Society of Medical Imaging Informatics (EuSoMII) the scope of the book is based on the Medical Imaging Informatics sub-sections of the European Society of Radiology (ESR) European Training Curriculum Undergraduate Level and Level I. This volume will be an invaluable resource for residents and radiologists and is also specifically suited for undergraduate training.Table of Contents1. From Physical Film to PACS Peter van Ooijen How the transition went from the use of physical film to the PACS environment. What are the basic components of a PACS. 2. The essence of HL7, DICOM, and IHE Peter Mildenberger What is the essence of the most important standards in the imaging domain, HL7, DICOM and IHE. What are they used for and what are the basic and most important building blocks 3. Development of Radiology Reporting Daniel Pinto dos Santos How did radiology reporting develop from dictation and typists to full-blown voice recognition. What are the components involved, what problems can you run into with such systems? What is the role of structured reporting. 4. Basic Imaging Workflow Elmar Kotter What does the imaging workflow look like both within radiology and beyond. What kind of communication is involved. Where are the previously described standards used. How does PACS and RIS/EPD driven workflow differ? 5. Diagnostic displays Erik Ranschaert What are requirements for diagnostic displays? How are they checked? What is the role of the DICOM standard in this? What about the use of mobile device screens? 6. Advanced Visualization Basics Angel Alberich-Bayarri The basics of advanced visualization including examples and discussion about the different technical implementations (server and client based rendering, web based, CPU/GPU etc) 7. Sharing imaging data Erik Ranschaert How are data shared within the enterprise and outside. What are the caveats. What is the role of mobile devices. 8. De-identification and anonymization Peter van Ooijen How can imaging data be prepared for use in (clinical) research by de-identification and anonymization. What is the role of the standards? What kind of tools can be used? 9. New and upcoming technologies All authors contribute New technologies such as AR/VR, 3D Printing and Artificial Intelligence are changing the role of radiology. What is going on and how are they going to change the field.

Read more less

Book SynopsisThis book provides in depth knowledge about critical factors involved in the success of pervasive healthcare. The book first presents critical components and importance of pervasive healthcare. The authors then give insight into the pervasive healthcare information systems and key consideration related to remote patient monitoring and safety. The book provides in-depth discussion about the security issues and protocols for pervasive healthcare. This book explores concepts and techniques behind the successive pervasive healthcare systems by providing in-depth knowledge about patient empowerment, remote patient monitoring, network establishment and protocols for effective pervasive healthcare. The book also provides case studies in the field. It is an ideal resource for researchers, students and healthcare organizations to get insight about the state of the art in pervasive healthcare systems. Provides current research, developments, and applications in pervasive healthcare; Includes technologies such as machine learning, cryptography, fog computing, and big data in the advancement of e-healthcare; Pertinent for researchers, students, practitioners and healthcare decision makers. Table of ContentsIntroduction.- Hybrid Machine Learning Techniques for Reliability and Security of Healthcare IoT Data.- Cryptographic Operations and Approaches for Privacy of IoT Data in healthcare.- Standards and Approaches for use of Blockchain Technology in Pervasive Healthcare.- Prediction of REM sleep behaviour disorder using EEG signal applied EMG 1 EMG 2 channel.- Healthcare Assisted by Fog Computing for Secure Data Transmission in Healthcare IoTs.- Experimental approaches for prediction of breast cancer diseases using clustering concepts.- Incident reporting system for Pervasive Healthcare.- Blockchain Application for Healthcare record management.- Applying Machine Learning Approach for Disease prediction.- Mobile system for remote patient monitoring.- Securing Pervasive Healthcare system.- Remote Patient Monitoring: Benefits, Applications and Issues.- Self-reporting in Pervasive Healthcare.- Role of Big Data Analytics in Pervasive Healthcare.- ML Techniques for remote patient activity monitoring.- Trust Management in Pervasive Healthcare.- Disease Detection using Android App.- Application of computer assisted machine learning based techniques in detecting neurological disorders.- Conclusion.

Read more less

Book SynopsisThis unique book comprehensively reviews how information technology is changing cardiovascular medical practice. Chapters include a wide range of topics from specific technologies and virtual care education to large system implementation. Extensive illustrative material and specific case studies are included throughout to reinforce key concepts and enable the reader to develop an understanding of how information technology is impacting medical practice. Health equity, medicolegal ethics, and regulatory considerations are also covered. Healthcare Information Technology for Cardiovascular Medicine: Telemedicine & Digital Health provides a foundation for better understanding how these technologies impact cardiovascular care delivery. Its comprehensive analysis enables healthcare providers and other stakeholders to enhance clinical practice through digital health implementation.Table of ContentsAn introduction to Virtual Care Delivery: A Boots on the Ground Perspective.- The Essentials to Building a Curriculum for Virtual Care Delivery Education.- Negotiating with and Influencing the Payor Landscape for Telemedicine.- Evaluating and Promoting Digital Medical Technologies as a Cardiology Clinician.- How practicing clinicians can meaningfully interact with the Fortune 500 of Digital Health.- Digital Health is More than Wellness: Managing Physiology with Digital Interventions.- Telemedicine in the Military: A Case for Review.- Behavioral Telemedicine is an agent of Culture Change.- The Wearable Landscape: Whose Responsibility is It?.- Trust in Artificial Intelligence: Clinicians are Essential.- Legal Issues in Virtual Cardiology Care: Boxed Pearls for each chapter about the active legal issues in that field.- Putting it all Together.

Read more less

Book SynopsisThis book is a proficient guide to understanding artificial intelligence (IoT) and the Internet of Medical Things (IoMT) in healthcare. The book provides a comprehensive study on the applications of AI and IoT in various medical domains. The book shows how the implementation of innovative solutions in healthcare is beneficial, and IoT, together with AI, are strong drivers of the digital transformation regardless of what field the technologies are applied in. Therefore, this book provides a high level of understanding with the emerging technologies on the Internet of Things, wearable devices, and AI in IoMT, which offers the potential to acquire and process a tremendous amount of data from the physical world. Table of ContentsIntroduction.- Insights on Cognitive Neuroscience Based on Deep Neural Networks.- Robot Assisted Treatment for Children with Learning Disabilities.- Machine learning based approaches for detecting COVID-19 using clinical data in an IoMT environment.- COVID-19 Epidemic Analysis using Deep Learning Approaches.- A Cancer Diagnosis System for Detection of Lung Cancers in an IOMT Environment.- An IOMT-Based Diagnosis System for COVID-19.- Prediction of COVID-19 Epidemic Curve of India: A Machine Learning Approach.- Internet of Medical Things (IoMT) services during COVID-19 pandemic: Roles, challenges, and applications.- Tackling Security and Privacy in Internet of Medical Things (IoMT).- Lightweight AI-Based Security Solutions in IoMT.- Conclusion.

Read more less

Book SynopsisHeavily updated and revised from the successful first edition Appeals to a wide range of informatics professionals, from students to on-site medical information system administrators Includes case studies and real world system evaluations References and self-tests for feedback and motivation after each chapter Great for teaching purposes, the book is recommended for courses offered at universities such as Columbia University Precise definition and use of terms Table of ContentsChallenges of Evaluation in Biomedical Informatics.- Evaluation as a Field.- Determining What to Study.- The Structure of Objectivist Studies.- Measurement Fundamentals.- Developing and Improving Measurement Methods.- The Design of Demonstration Studies.- Analyzing the Results of Demonstration Studies.- Subjectivist Approaches to Evaluation.- Performing Subjectivist Studies in the Qualitative Traditions Responsive to Users.- Economic Aspects of Evaluation.- Proposing and Communicating the Results of Evaluation Studies: Ethical, Legal, and Regulatory Issues.

Read more less

Book SynopsisThis essential book details intermediate-level statistical methods and frameworks for the clinician and medical researcher with an elementary grasp of health statistics and focuses on selecting the appropriate statistical method for many scenarios. Detailed evaluation of various methodologies familiarizes readers with the available techniques and equips them with the tools to select the best from a range of options. The inclusion of a hypothetical case study between a clinician and statistician charting the conception of the research idea through to results dissemination enables the reader to understand how to apply the concepts covered into their day-to-day clinical practice.Applied Statistical Considerations for Clinical Researchers focuses on how clinicians can approach statistical issues when confronted with a medical research problem by considering the data structure, how this relates to their study's aims and any potential knock-on effects relating to the evidence required to make correct clinical decisions. It covers the application of intermediate-level techniques in health statistics making it an ideal resource for the clinician seeking an up-to-date resource on the topic.Table of ContentsIntroduction.- Preliminaries.- Design.- Planning.- Data Acquisition.- Data Manipulation Analysis.- Inferencesty.- Dissemination.- A Case Study.- Conclusions.

Read more less

Book SynopsisThis book originates from the idea to adapt biomedical engineering and medical informatics to current clinical needs and proposes a paradigm shift in medical engineering, where the limitations of technology should no longer be the starting point of design, but rather the development of biomedical devices, software, and systems should stem from clinical needs and wishes. Gathering chapters written by authoritative researchers, working the interface between medicine and engineering, this book presents successful attempts of conceiving technology based on clinical practice. It reports on new strategies for medical diagnosis, rehabilitation, and eHealth, focusing on solutions to foster better quality of life through technology, with an emphasis on patients’ and clinical needs, and vulnerable populations. All in all, the book offers a reference guide and a source of inspiration for biomedical engineers, clinical scientists, physicians, and computer scientists. Yet, it also includes practical information for personnel using biomedical equipment, as well as timely insights that are expected to help health agencies and software firms in their decision-making processes.Table of ContentsIntroduction.- Medicine Based Engineering and Informatics to Foster Patient Physician Relationship.- Statistical Gait Analysis based on surface electromyography.- Brain-computer interfaces with functional electrical stimulation for motor neurorehabilitation: from research to clinical practice.- Biopotential acquisition systems.- Wearable Bioimpedance Measuring Devices.- Predictive cardiovascular engineering: transforming data into future insights on cardiovascular disease.- Engineering special medical devices for vulnerable groups.- Serious games and virtual reality for rehabilitation and follow up of wheelchaired persons.- Society 5.0 and a Human Centred Health Care.

Read more less

Book SynopsisThis new edition of the classic textbook on health informatics provides readers in healthcare practice and educational settings with an unparalleled depth of information on using informatics methods and tools. However, this new text speaks to nurses and — in a departure from earlier editions of this title — to all health professionals in direct patient care, regardless of their specialty, extending its usefulness as a textbook. This includes physicians, therapists, pharmacists, dieticians and many others. In recognition of the evolving digital environments in all healthcare settings and of interprofessional teams, the book is designed for a wide spectrum of healthcare professions including quality officers, health information managers, administrators and executives, as well as health information technology professionals such as engineers and computer scientists in health care. The book is of special interest to those who bridge the technical and caring domain, particularly nurse and medical informaticians and other informaticians working in the health sciences. Nursing Informatics: An Interprofessional and Global Perspective contains real-life case studies and other didactic features to illustrate the theories and principles discussed, making it an ideal resource for use within health and nursing informatics curricula at both undergraduate and graduate level, as well as for workforce development. It honors the format established by the previous editions by including a content array and questions to guide the reader. Readers are invited to look out of the box through a dedicated global perspective covering health informatics applications in different regions, countries and continents. Table of ContentsIntroduction.- Health informatics: The science and practice of supporting the clinical workforce with data, information and knowledge.- TIGER: From nursing to interprofessional health informatics education.- TIGER: The impact of a global initiative on education and care.- TIGER: Ask the patient - An interprofessional perspective to engage clinicians and patients.- The 360° stakeholder perspective.- The patients' view.- The nurse's view.- The physician's view.- The pharmacist's view.- The therapist's view.- The CIO's view.- The view of health information management.- The CNIO's view.- The CMIO's view.- The CEO's view.- Data, Information and Knowledge.- Documentation and EHRs.- Information & knowledge management in patient care.- Quality & safety management.- Interoperable Systems.- Principles of health informatics.- Information & communication technology (applications): decision support.- Information & communication technology (applications): telehealth.- Information & communication technology (applications): smart mobile assistance.- Information Exchange and Information Sharing.- Interoperability & integration.- Care processes & IT integration.- Process management.- Interprofessional digitally enabled cooperation.- Population health and interoperability.- Data science.- Learning Healthcare System.- Data analytics, machine learning and visualisation.- Ethical and Legal Issues.- Data protection & security.- Cybersecurity.- Legal issues in health IT.- Ethics in health IT.- Education.- Teaching, training & education in healthcare.- (Learning techniques) - digital professionalism.- Global Workforce development.- Management.- Principles of management.- Strategic management.- Communication.- Leadership.- Change & stakeholder management.- Resource planning & management.- Global development - some examples.- Telehealth in developing countries.- Brasil: Clinical use of terminologies in patient care.- China: Mobile devices (NI education beyond borders).- Singapur.- Nigeria.- Japan.- Bangladesh.- Mali .- Canada.- Italy.- Conclusion.- Emergering Technologies (Augmented Reality, Machine Learning).- Outlook and Future.

Read more less

Book SynopsisThere are several popular books published in Healthcare Computational Informatics like Computational Bioengineering and Bioinformatics (2020), Springer; Health Informatics (2017), Springer; Health Informatics Vision: From Data via Information to Knowledge (2019), IOS Press; Data Analytics in Biomedical Engineering and Healthcare (2020), Elsevier. However, in all these mentioned books, the challenges in Biomedical Imaging are solved in one dimension by use of any specific technology like Image Processing, Machine Learning or Computer Aided Systems. In this book, the book it has been attempted to bring all technologies related to computational analytics together and apply them on Biomedical Imaging.Table of ContentsSection 1: Medical Image Analysis using Artificial Intelligence Use of Deep Learning in Biomedical Imaging Detection of Breast Cancer Masses in Mammogram Images with Watershed Segmentation and Machine Learning Approach Cloud-based Glaucoma Diagnosis in Medical Imaging using Machine Learning Leucocytic Cell Nucleus Identification using Boundary Cell Detection algorithm with Dilation and Erosion based Morphometry Effective Prediction of Autism Using Ensemble Method Section 2: Artificial Intelligence (AI) Classification Models for COVID-19 Pandemic Automatic Classification of COVID-19 infected patients using Convolution Neural Network Models AI-Based Deep Random Forest Ensemble Model for Prediction of COVID-19 and Pneumonia from Chest X-Ray Images Section 3: Use of AI-Enabled IoT in Healthcare Internet of Things and Artificial Intelligence in Biomedical Systems Role of IoT in Healthcare Sector for Monitoring Diabetic Patients Section 4: Applications of Artificial Intelligence in Healthcare Low-Rank Representation based approach for subspace segmentation and clustering of biomedical image patterns Performance Comparison of Imputation Methods for Heart Disease Prediction Ayurnano: A solution towards herbal therapeutics using Artificial Intelligence approach Artificial Intelligence in Biomedical Education The Emergence of Natural Language Processing (NLP) Techniques in Healthcare AI Prospects and Difficulties of Artificial Intelligence (AI) Implementations in Naturopathy

Read more less

Book SynopsisThis book gathers peer-review contributions to the 4th International Workshop on Gerontechnology, IWoG 2021, held on November 23-24, 2021, in Évora, Portugal. They report on cutting-edge technologies and optimized workflows for promoting active aging and assisting elderly people at home, as well as in healthcare centers. They discuss the main challenges in the development, use and delivery of health care services and technologies. Not only they propose solutions for improving in practice the monitoring and management of health parameters and age-related diseases, yet they also describe improved approaches for helping seniors in their daily tasks and facilitating their communication and integration with assistive technologies, thus improving their quality of life, as well as their social integration. All in all, this book provides health professionals, researchers, and service providers with extensive information on the latest trends in the development and practical application of gerontechnology, with a special emphasis on improving quality of life of the elderly. Table of ContentsContigo: Monitoring People’s Activity App for Anomalies Detection.- SAMoA: A Self-Adaptive Mobility Monitoring Framework for MCI Elderly People and their Caregivers.- Blockchain-supported health registry: the claim for a Personal Health Trajectory traceability and how it can be achieved.- A graph-based healthcare system for quantum simulation of medication administration in the aging people.- Distributed Sustainable IoT Architecture for Detecting Loneliness in Isolated Rural Areas.- Software Product Lines for Industrial Robots: A Pilot Case with Arduino.- Accessible and Personalised Environments for the Care of Older People in the Home Environment.- Acceptance of digital tools for healthy aging. New challenges for Nursing.- Satisfaction: a concept based on Functionality and Quality of life to be integrated in a Nursing Care Performance System.- Age-friendly primary health care: A scoping review.

Read more less

Book SynopsisThis book provides an overview of the innovative concepts, methodologies and frameworks that will increase the feasibility of the existing telemedicine system. With the arrival of advanced technologies, telehealth has become a new subject, requiring a different understanding of IT devices and of their use, to fulfill health needs. Different topics are discussed - from the basics of TeleMedicine, to help readers understand the technology from ground up, to details about the infrastructure and communication technologies to offer deeper insights into the technology. The use of IoT and cloud services along with the use of blockchain technology in TeleMedicine are also discussed. Detailed information about the use of machine learning and computer vision techniques for the proper transmission of medical data - keeping in mind the bandwidth of the network - are provided. The book will be a readily accessible source of information for professionals working in the area of information technology as well as for the all those involved in the healthcare environment.Table of Contentssee attachment

Read more less

Book SynopsisDemographic trends and increasing support costs means that good design for older and disabled people is an economic necessity, as well as a moral imperative. Alan Newell has been described as "a visionary who stretches the imagination of all of us" and "truly ahead of his time." This monograph describes research ranging from developing communication systems for non-speaking and hearing-impaired people to technology to support older people, and addresses the particular challenges older people have with much modern technology. Alan recounts the insights gained from this research journey, and recommends a philosophy, and design practices, to reduce the "Digital Divide" between users of information technology and those who are excluded by the poor design of many current systems. How to create and lead interdisciplinary teams, and the practical and ethical challenges of working in clinically related fields are discussed. The concepts of "Ordinary and Extra-ordinary HCI", "User Sensitive Inclusive Design" , and "Design for Dynamic Diversity", and the use of "Creative Design" techniques are suggested as extensions of "User Centered" and "Universal Design." Also described are the use of professional theatre and other methods for raising designers' awareness of the challenges faced by older and disabled people, ways of engaging with these groups, and of ascertaining what they "want" rather than just what they "need." This monograph will give all Human Computer Interaction (HCI) practitioners and designers of both mainstream and specialized IT equipment much food for thought. Table of Contents: 40 years--Highlights and a Brief Review / Communication Systems for Non-Speaking and Hearing-Impaired People / TV Subtitling for Hearing-Impaired People / Word Prediction for Non-Speaking People and Systems for those with Dyslexia / Providing Reusable Conversation for Non-Speaking People / Story Telling and Emotion in Synthetic Speech / Lessons Learned from Designing AAC Devices / IT Systems for Older People / Designing IT Systems for Older People / Ordinary and Extra-Ordinary Human Computer Interaction / User Sensitive Inclusive Design / The Use of Professional Theatre / Attacking the Digital DivideTable of Contents40 years--Highlights and a Brief Review.- Communication Systems for Non-Speaking and Hearing-Impaired People.- TV Subtitling for Hearing-Impaired People.- Word Prediction for Non-Speaking People and Systems for those with Dyslexia.- Providing Reusable Conversation for Non-Speaking People.- Story Telling and Emotion in Synthetic Speech.- Lessons Learned from Designing AAC Devices.- IT Systems for Older People.- Designing IT Systems for Older People.- Ordinary and Extra-Ordinary Human Computer Interaction.- User Sensitive Inclusive Design.- The Use of Professional Theatre.- Attacking the Digital Divide.

Read more less

Book SynopsisThis book reports on several advances in architectural graphics, with a special emphasis on education, training, and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2–4, 2022, in Cartagena, Spain, with the motto: "Beyond drawings. The use of architectural graphics".Table of ContentsAnalysis and geographical representation of Cilento's monastic architecture.- Analysis of the Critical Issue Occuring in the Procedures of Image-Based Acquisition of Cultural Heritage.- Architectural survey for analysis and conservation of fortifications of Belver de los Montes (Zamora).- Connections Between the Architectural Drawings of Miralles and Mackintosh: From Ichnographia to caenographia.- Detailed Knowledge of Territory: Exploration and Army.- Digital reprocessing of historical cartography through historiographic analysis of sites.

Read more less

Book SynopsisThis open access book describes a BIM-based toolkit that has been developed according to the latest research activities on building information modelling and semantic interoperability to optimize the building process. It highlights the impacts of using such new tools to fast renovation activities starting from the decision-making and design stages to the construction site management with the possibility to monitor occupants' and owners’ feedback during the realization process. In this process, a framework has been developed and implemented to allow stakeholders involved in a renovation project to efficiently compile, maintain, and add data about (i) building elements, (ii) building services systems, (iii) tenants, operators, and owners of the building, and (iv) current and predicted performance of the building from the various data sources available. The framework applies and specializes the existing practices in the Semantic Web, Linked Data, and ontology domain to the management of renovation projects. It has been designed to be open so that any system which implements the required functions and uses the specified conventions will be able to achieve semantic interoperability with other framework-compliant systems in the renovation domain. Finally, this book represents the validation process of the toolkit that has been held in three demo sites: a social housing building in Italy and two private residential buildings in Poland and Finland. The outcome shows that the toolkit facilitates the renovation process with relevant reductions of time, costs, and energy consumption and that the inhabitants can take advantage of the increase in building performances, quality, and comfort.

Read more less

Book SynopsisThis book reports on several advances in architectural graphics, with a special emphasis on education, training and research. It gathers a selection of contributions to the 19th International Conference on Graphic Design in Architecture, EGA 2022, held on June 2–4, 2022, in Cartagena, Spain, with the motto: "Beyond drawings. The use of architectural graphics".Table of ContentsMadrid and the Board of Houses of the Navy: Four Projects for Spain in the 1940s.- Framing, filling, linking: The drawing of elements for city description.- From historical and theoretical analysis of Representation and Geometry to Topology for Structural Optimization.- From image to investigation 3D reconstruction with perspective restitution.- From the "sacred theatres" of Andrea Pozzo to the international truncated calotte: history and representation of the Immacolatella church’s tribune in Trapani (1732).- Geometric and formal characterization of the church of Santa María de Tobed.

Read more less

Book SynopsisThis book provides a detailed technical overview of the use and applications of artificial intelligence (AI), machine learning and big data in cardiology. Recent technological advancements in these fields mean that there is significant gain to be had in applying these methodologies into day-to-day clinical practice. Chapters feature detailed technical reviews and highlight key current challenges and limitations, along with the available techniques to address them for each topic covered. Sample data sets are also included to provide hands-on tutorials for readers using Python-based Jupyter notebooks, and are based upon real-world examples to ensure the reader can develop their confidence in applying these techniques to solve everyday clinical problems.Artificial Intelligence and Big Data in Cardiology systematically describes and technically reviews the latest applications of AI and big data within cardiology. It is ideal for use by the trainee and practicing cardiologist and informatician seeking an up-to-date resource on the topic with which to aid them in developing a thorough understanding of both basic concepts and recent advances in the field.Table of ContentsIntroduction.- AI and Machine Learning: the Basics.- From Machine Learning to Deep Learning.- Measurement and Quantification.- Diagnosis.- Outcome Prediction.- Quality Control.- AI and Decision Support.- AI in the Real World.- Analysis of Non-imaging Data.- Conclusions.

Read more less

Book SynopsisThis unique collection of chapters from world experts on person-centered outcome (PCO) measures addresses the following critical questions: Can individual experiences be represented in measurements that do not reduce unique differences to meaningless uniformity? How person-centric are PCO measures? Are PCO measurements capable of delivering the kind of quality assured quantification required for high-stakes decision making? Are PCO measures likely to support improved health care delivery? Have pivotal clinical studies failed to deliver treatments for diseases because of shortcomings in the PCO measures used? Are these shortcomings primarily matters of precision and meaningfulness? Or is the lack of common languages for communicating outcomes also debilitating to quality improvement, research, and the health care economy? Three key issues form an urgent basis for further investigation. First, the numbers generated by PCO measures are increasingly used as the central dependent variables upon which high stakes decisions are made. The rising profile of PCO measures places new demands for higher quality information from scale and test construction, evaluation, selection, and interpretation. Second, PCO measurement science has well-established lessons to be learned from those who have built and established the science over many decades. Finally, the goal in making a PCO measurement is to inform outcome management. As such, it is vitally important that key stakeholders understand that, over the last half century, developments in psychometrics have refocused measurement on illuminating clinically important individual differences in the context of widely reproduced patterns of variation in health and functioning, comparable scale values for quality improvement, and practical explanatory models.This book’s audience includes anyone interested in person-centered care, including healthcare researchers and practitioners, policy makers, pharmaceutical industry representatives, clinicians, patient advocates, and metrologists.This is an open access book.Table of ContentsI. Policyi. Regulatorsiii. Patient Engagementiv. Legalv. SustainabilityII. Practicei. Bridging legacy instrumentsii. QPROMSiii. PROMiv. Visual Functioning daily activities item bankv. Neuromuscular disease clinical trialsIII. Methods/Methodologyi. Qualitative - patientsii. Qualitative - cliniciansiii. Psychometric analysis – Rasch Modeliv. Mixed methodsv. Construct Specification EquationsIV. Theory/History/Philosophyi. A history of social measurementii. A history of clinical outcomesiii. Validityiv. Rasch Measurement Theoryv. Linking social measurement to person centered outcome metrology

Read more less

Book SynopsisThis book presents a comprehensive study in the field of advances in medical data science and contains carefully selected articles contributed by experts of information technology. Continuous growth of the amount of medical information and the variety of multimodal content necessitates the demand for a fast and reliable technology able to process data and deliver results in a user-friendly manner at the time and place the information is needed. Computational approaches for understanding human complexity, AI-powered applications in image and signal processing, bioinformatics, sound and motion as activity stimulus, joint activities in biomedical engineering and physiotherapy, disorder in children, selected comparative studies give new meaning to optimization of the functional requirements of the healthcare system for the benefit of the patients. It is an interdisciplinary collection of papers that have both theoretical and applied dimensions. It includes the following research areas: Computational methods for understanding human complexity Image and signal analysis Multidimensional medical data analysis Sound and motion Joint activities in biomedical engineering and physiotherapy This book is a great reference tool for scientists who deal with problems of designing and implementing information processing tools employed in systems that assist the clinicians, radiologists, and physiotherapists in patient diagnosis and treatment. It also serves students in exploring innovations in quantitative medical data analysis, data mining, and artificial intelligence.Table of ContentsClassifying Changes in Motion Behaviour Due to a Hospital Stay Using Floor Sensor Data – a Single Case Study.- Cloud-Based System for Vital Data Recording at Patients’ Home.- Tele-BRAIN Diagnostics Support System for Cognitive Disorders in Parkinson’s Patients.- EEG Signal and Deep Learning Approach in Evaluation of Cognitive Declines in Parkinson’s Disease.- Construction of a Cephalometric Image Based on Magnetic Resonance Imaging Data.- A Revealed Imperfection in Concept Drift Correction in Metabolomics Modeling.- The Influence of Low-Intensity Pulsed Ultrasound (LIPUS) on the Properties of PLGA Biodegradable Polymer Coatings on Ti6Al7Nb Substrate.

Read more less

Book SynopsisArtificial intelligence (AI) and machine learning (ML) have transformed many standard and conventional methods in undertaking health and well-being issues of humans. AL/ML-based systems and tools play a critical role in this digital and big data era to address a variety of medical and healthcare problems, improving treatments and quality of care for patients. This edition on AI and ML for healthcare consists of two volumes. The first presents selected AI and ML studies on medical imaging and healthcare data analytics, while the second unveils emerging methodologies and trends in AI and ML for delivering better medical treatments and healthcare services in the future.In this first volume, progresses in AI and ML technologies for medical image, video, and signal processing as well as health information and data analytics are presented. These selected studies offer readers theoretical and practical knowledge and ideas pertaining to recent advances in AI and ML for effective and efficient image and data analytics, leading to state-of-the-art AI and ML technologies for advancing the healthcare sector.Table of ContentsAn Introduction to Artificial Intelligence in Healthcare.- Radiomics: Approach to Precision Medicine.- Artificial Intelligence Based Strategies for Data-Driven Radial MRI.

Read more less

Book SynopsisIn line with advances in digital and computing systems, artificial intelligence (AI) and machine learning (ML) technologies have transformed many aspects of medical and healthcare services, delivering tangible benefits to patents and the general public. This book is a sequel of the edition on “Artificial Intelligence and Machine Learning for Healthcare”. The first volume is focused on utilization of AI and ML for image and data analytics in the medical and healthcare domains. In this second volume, emerging methodologies and future trends in AI and ML for advancing medical treatments and healthcare services are presented. The selected studies in this book provide readers a glimpse on current progresses in AI and ML for undertaking a variety of healthcare-related tasks. The advances in AI and ML technologies for future healthcare are also discussed, shedding light on the potential of AI and ML to realize the next-generation medical treatments and healthcare services for the betterment of our global society. Table of ContentsArtificial Intelligence for the future of medicine.- A Survival Analysis Guide in Oncology.- Social Media Sentiment Analysis related to COVID-19 Vaccinations.- Healthcare support using data mining: A case study on stroke prediction.

Read more less

This heavily revised open access edition provides a thorough overview of the technologies available to assemble, manage and assess the quality of health information systems. It details a variety of scenarios in the context of both health and heath care, including where prevention and wellness are related, such as the treatment of both acute and chronic diseases. Stakeholder requirements are also described to provide perspectives for describing the architectures and management techniques associated with health information systems, enabling the reader to develop a detailed holistic overview of the subject. Health Information Systems: Technological and Management Perspectives features a detailed overview of how information systems in health care can be managed and is a vital resource for medical informatics students seeking an up-to-date text on the topic.

Read more less

Book SynopsisThis heavily revised open access edition provides a thorough overview of the technologies available to assemble, manage and assess the quality of health information systems. It details a variety of scenarios in the context of both health and heath care, including where prevention and wellness are related, such as the treatment of both acute and chronic diseases. Stakeholder requirements are also described to provide perspectives for describing the architectures and management techniques associated with health information systems, enabling the reader to develop a detailed holistic overview of the subject. Health Information Systems: Technological and Management Perspectives features a detailed overview of how information systems in health care can be managed and is a vital resource for medical informatics students seeking an up-to-date text on the topic.Table of ContentsIntroduction.- Motivation And Objective Of The Book.- Life Situations.- Stakeholders’ Requirements.- Example.- Summary.- Basic Concepts And Terms.- Introduction.- Data, Information And Knowledge.- Systems And Subsystems.- Information Systems.- Health Information Systems.- Information Logistics In Health Information Systems.- Functions And Processes Of Health Care Settings.- Information Processing Tools Of Health Information Systems.- Electronic Health Records As A Part Of Health Information Systems.- Architecture And Infrastructure Of Health Information Systems.- Management Of Health Information Systems.- Modeling Information Systems.- Using The Snik Ontology Together With This Book.- Examples.- Exercises.- Summary.- Technological Perspective: Architectures, Integration And Standards.- Introduction.- Layers Of Architectures.- Integrity And Integration.- Standards For Interoperability.- Specific Health Information Systems.- Examples.- Exercises.- Summary.- Management Perspective: Tasks, Scope And Governance.- Introduction.- Strategic, Tactical And Operational Management Of Information Systems.- Tasks And Methods Of Strategic Management Of Information Systems.- It Service Management.- Data Governance.- It Governance.- Managing Specific Health Information Systems.- Examples.- Exercises.- Summary.- Quintessence: Quality.- Fulfillment Of Stakeholders’ Requirements.- Evaluation.- Summary.- Thesaurus.- Literature Cited.

Read more less

Book SynopsisHealthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.Table of Contents1. Chapter1.1. Introduction 1.2. Smart Healthcare and Telemedical System 1.2.1. Smart Healthcare Technology 1.2.2. Remote monitoring and automated healthcare system 1.2.3. Remote Care and Telehealth 1.2.4. Emergency response solution for connectivity 1.2.5. Smart Hospital Management 1.3. Telemedical Healthcare 1.3.1. Registration Phase 1.3.2. Login Phase and Mutual Authentication 1.3.3. Telemedicine Server 1.4. Intelligent Medical Care using IoT 1.5. Smart Healthcare: Challenges and Threats Conclusion References 2. Chapter 2.1. Introduction 2.2. IoT Related Sub-Components 2.2.1. Embedded programming 2.2.2. Hardware device 2.2.3. Security 2.2.4. Networking and cloud Integration 2.2.5. Data Analytics and prediction 2.2.6. Machine Learning and AI 2.3. Architecture of IoT 2.3.1. Sensors and Actuators 2.3.2. Internet gateway 2.3.3. Edge Computing IT System 2.3.4. Data Centre and Cloud 2.3.5. Application of IoT 2.3.6. Smart Homes 2.3.7. Smart Agriculture 2.3.8. Energy Management 2.3.9. Industrial Internet 2.4. IoT In Healthcare 2.4.1. Remote patient monitoring 2.4.2. Real time Data Tracking 2.4.3. Connected wearables 2.5. Internet of Medical Things (IoMT or IoMedT) 2.6. Challenges for IoMT Conclusion References 3. Chapter 3.1. Introduction 3.2. IoT Components 3.2.1. Devices/Sensors 3.2.2. Connectivity 3.2.3. Data Processing 3.2.4. User Interface 3.3. IoMedT Components 3.3.1. Patient and Payer 3.3.2. Connected Medical Devices 3.3.3. Communication Services (Connectivity) 3.3.4. Analytics Platform (Data Processing 3.3.5. Service Providers 3.4. Integration of Latest Technology with IoMedT 3.5. Benefits and Challenges of IoMedT 3.5.1. Benefits of IoMedT 3.5.2. Challenges in IoMedT Conclusion References 4. Chapter 4.1. Introduction to Smart healthcare and IoMT 4.2. Perception layer - Sensor systems for data collection 4.2.1. Gateway layer 4.2.2. Management service layer/application support layer- data storage 4.2.3. Application/service layer 4.3. IoMT: A boon in healthcare 4.4. Challenges of IoMT 4.5. Benefits of IoMT 4.6. Structural components of IoMT 4.7. Functional components of IoMT 4.8. Structural and Functional Challenges Conclusion References 5. Chapter 5.1. Introduction 5.2. Working of Blockchain 5.2.1. Distributed Database 5.2.2. A network of nodes 5.2.3. Building Trust 5.3. Benefits of Blockchain Technology 5.3.1. Time-saving 5.3.2. Cost-saving 5.3.3. Tighter security 5.4. Application of Blockchain 5.4.1. Asset Management 5.4.2. Cross-Border Payments 5.4.3. Healthcare 5.4.4. Cryptocurrency 5.4.5. Birth and Death Certificates 5.4.6. Online Identity Verification 5.4.7. Internet of Things 5.4.8. Copyright and Royalties 5.5. Application of Blockchain in Smart Healthcare 5.5.1. Research 5.5.2. Seamless switching of patients between providers 5.5.3. Faster, cheaper, better patient care 5.5.4. Interoperable electronic health records 5.5.5. Data security 5.5.6. Mobile health apps and remote monitoring 5.5.7. Tracing and securing medical supplies 5.5.8. Health insurance claims 5.5.9. Tracking diseases and outbreaks 5.5.10. Safeguarding genomics Conclusion References 6. Chapter 6.1. Introduction 6.2. Possible Security Attacks in DMR Internet of Things Networks 6.3. Security Schemes and There Challenges in DMR Conclusion References 7. Chapter 7.1. Introduction 7.2. Benefits of IoMT in Smart Healthcare 7.2.1. Cost Reduction 7.2.2. Improve Treatment 7.2.3. Faster Disease Diagnosis 7.2.4. Drug and Equipment Management 7.2.5. Error Reduction 7.3. Tools and Technique for IoMT in Smart Healthcare 7.3.1. Electronic Health Record (EHR) 7.3.2. Referral Trackers 7.3.3. Patient Portals 7.3.4. Remote Patient Monitoring 7.3.5. Computerized Provider Order Entry 7.4. Use case of IoMT in Healthcare Industry 7.4.1. Internet of things for patients 7.4.2. Internet of things for Hospitals 7.4.3. Internet of things for Physicians 7.4.4. Internet of things for Business 7.4.5. Internet of things for Health Insurance Companies 7.5. Privacy and Security Issue in IoMT 7.5.1. Patients are not in charge of their own information 7.5.2. Present to Your Own Device (BYOD) 7.5.3. Telecommuting presents security chances 7.6. Challenges of IoMT in Smart Healthcare 7.6.1. Underdeveloped Initiatives 7.6.2. Unavailability of Memory 7.6.3. Keeping Updated 7.6.4. Data Security 7.6.5. Global healthcare regulations 7.6.6. Scalable Platforms 7.6.7. Data Overloading 7.7. Impact of IoMT on the future of the healthcare industry Conclusion References 8. Chapter 8.1. Introduction 8.1.1. Big Data relation with Cloud Computing 8.1.2. Relationship between IoMT and Big Data 8.1.3. Big Data and the Internet of Medical Things 8.1.4. IoT and Cloud Computing 8.1.5. Benefits of using big data, IoT and the cloud 8.2. IoMT needs to be integrated with cloud computing 8.3. Integration of IoT and Cloud Computing 8.4. Benefits of integrating IoT and cloud computing Conclusion References 9. Chapter 9.1. Introduction 9.1.1. IoT in Smart Healthcare Systems 9.2. Background/Present state in Data security 9.2.1. Data Security requirements in Smart Healthcare Systems 9.3. Privacy and QoS in smart healthcare 9.4. Data Security and Privacy Issues in Healthcare 9.5. QoS Parameters for Smart Healthcare 9.6. Suggested Security Techniques to Preserve QoS Conclusion References 10. Chapter 10.1. Introduction 10.2. Authentication Schemes for Tele Medical Healthcare System 10.3. Processes of an authentication protocol Conclusion References 11. Chapter 11.1. Introduction 11.1.1. Security 11.1.2. Features 11.2. Types of Blockchain Networks 11.2.1. Public blockchain network 11.2.2. Private blockchain network 11.2.3. Permissioned blockchain network 11.2.4. Consortium Blockchain networks 11.3. Applications of Blockchain 11.3.1. Smart contracts 11.3.2. Involving Blockchain into Internet of Things (IOT) 11.3.3. Preventing Identity Theft 11.4. Application of Blockchain in Smart Healthcare 11.4.1. Keeping transparency in delivering healthcare goods 11.4.2. Storing of medical data of patients 11.4.3. Remote health monitoring using IOT and blockchain 11.5. Electronic Health Record (EHR) and its Storage 11.5.1. Medical Big Data Mining and Processing in e-Healthcar 11.5.2. Smart healthcare systems using big data 11.6. Significance of Blockchain in Security of Electronic Health Record (EHR) Conclusion References 12. Chapter 12.1. Introduction 12.1.1. A Different Healthcare World 12.2. Components of Telemedicine 12.2.1. Teleconsultation 12.2.2. Telementoring 12.2.3. Telemonitoring 12.3. Emerging technologies in telemedicine 12.3.1. Technologies proceeding telemedicine 12.3.2. mRNA Technology 12.3.3. Neurotechnology 12.3.4. Precision Medicine 12.3.5. Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) 12.3.6. Health Wearables 12.3.7. Technology in Mental Health 12.3.8. Artificial Intelligence 12.3.9. Augmented and virtual reality 12.3.10. Tele-robots 12.3.11. IoT and nanotechnology 12.3.12. 3D Printing 12.3.13. Enhanced Access to Medical Data and Information 12.3.14. Big Data 12.3.15. Improved Lines of Communication 12.3.16. Electronic Health Records 12.3.17. Metaverse Conclusion References 13. Chapter 13.1. Introduction 13.1.1. AI and Machine Learning 13.1.2. Cloud Computing 13.1.3. Cyber security/Cloud Security 13.2. Role of Artificial Intelligence, Cloud Computing, and Internet Security in Smart Healthcare 13.2.1. Artificial Intelligence and Machine Learning (AIML) in Healthcare Systems 182 13.2.2. Early Cancer Diagnosis 13.2.3. Diagnosis of Fatal Blood Diseases 13.2.4. Customer Service Chatbots 13.2.5. Managing the Medical Records 13.2.6. Dosage Errors 13.2.7. Robotic Surgeries 13.3. Cloud Computing in Healthcare Systems 13.4. Security Challenge in Smart Healthcare Conclusion References 14. Chapter 14.1. Introduction 14.1.1. Capturing storage techniques for healthcare data 14.1.2. About Healthcare Data 14.1.3. Data storage 14.1.4. Onsite data storage 14.1.5. Public cloud data storage 14.1.6. Hybrid cloud data storage solution 14.1.7. Benefits of storing data on the cloud from multiple sources 14.2. ML-enabled storage systems 14.3. The current state of technology 14.4. Enhancing existing Enterprise Data Warehouses (EDW) 14.5. Background work 14.6. ML techniques for treatment of healthcare data 14.7. Smart access techniques for storage systems 14.8. Prediction of diseases on healthcare data, both batch, and real-time data streams 197 Conclusion References 15. Chapter 15.1. Introduction 15.2. Smart Healthcare Tools and Techniques 15.2.1. Cloud Computing in Smart Healthcare 15.2.2. Medical Records Centralization 15.2.3. Promoting Patient Engagement 15.2.4. Better Scalability 15.2.5. Cost-Effectiveness 15.2.6. Advanced Analytics for Healthcare 15.3. Current and Future application of AI, IoT, Blockchain and Cloud Computing in Smart Healthcare . 210 15.3.1. Applications of Artificial Intelligence in Smart Healthcare 15.3.2. Machine learning neural networks and deep learning 15.3.3. Physical robots 15.3.4. Natural language processing (NLP) 15.3.5. Applications of Internet of Things (IoT) in Smart Healthcare 15.3.6. Applications of Blockchain in Smart Healthcare 15.3.7. Applications of Cloud Computing in Smart Healthcare 15.4. Challenges in Smart Healthcare 15.4.1. Availability 15.4.2. Data Centralization 15.4.3. Privacy/Security 15.4.4. Open Access 15.5. Future of Smart Healthcare and Telemedicine Conclusion References

Read more less

Book SynopsisThis book explores the benefits of deploying Machine Learning (ML) and Artificial Intelligence (AI) in the health care environment. The authors study different research directions that are working to serve challenges faced in building strong healthcare infrastructure with respect to the pandemic crisis. The authors take note of obstacles faced in the rush to develop and alter technologies during the Covid crisis. They study what can be learned from them and what can be leveraged efficiently. The authors aim to show how healthcare providers can use technology to exploit advances in machine learning and deep learning in their own applications. Topics include remote patient monitoring, data analysis of human behavioral patterns, and machine learning for decision making in real-time.Table of Contents1. Pandemic effect of COVID-19: Identification, Present scenario and preventive measures using Machine learning model..- 2. A Comprehensive Review of the Smart Health Records to prevent Pandemic.- 3. Automation of COVID-19 Disease Diagnosis from Radiograph.- 4. Applications of Artificial Intelligence in the attainment of Sustainable Development Goals.- 5. A Novel Model for IoT Blockchain Assurance Based Compliance to COVID Quarantine.- 6. DEEP LEARNING BASED CONVOLUTIONALNEURAL NETWORK WITH RANDOM FOREST APPROACH FOR MRI BRAIN TUMOUR SEGMENTATION .- 7. Expert systems for improving the effectiveness of remote health monitoring in Covid-19 Pandemic - A Critical Review.- 8. Artificial Intelligence-based predictive tools for Life-threatening diseases.- 9. Deep Convolutional Generative Adversarial Network for Metastatic Tissue Diagnosis in Lymph Node Section.- 10. Transformation in Health Sector during Pandemic by Photonics Devices .- 11. DIAGNOSIS OF COVID-19 FROM CT IMAGES AND RESPIRATORY SOUND SIGNALS USING DEEP LEARNING STRATEGIES.- 12. The Role of Edge Computing in Pandemic and Epidemic Situations with its Solutions.- 13. Advances and application of Artificial Intelligence and Machine learning in the field of cardiovascular diseases and its role during the Pandemic condition.- 14. Effective Health Screening and Prompt Vaccination to Counter the Spread of Covid-19 and Minimize its Adverse Effects.- 15. CROWD DENSITY ESTIMATION USING NEURAL NETWORK FOR COVID’19 AND FUTURE PANDEMICS.- 16. “Role of digital healthcare in rehabilitation during pandemic”.- 17. AN EPIDEMIC OF NEURODEGENERATIVE DISEASE ANALYSIS USING MACHINE LEARNING TECHNIQUES.- 18. Covid-19 Growth Curve Forecasting for India using Deep Learning Techniques.

Read more less

Book SynopsisThis book aims to provide physicians and scientists with the basics of Artificial Intelligence (AI) with a special focus on medical imaging. The contents of the book provide an introduction to the main topics of artificial intelligence currently applied on medical image analysis. The book starts with a chapter explaining the basic terms used in artificial intelligence for novice readers and embarks on a series of chapters each one of which provides the basics on one AI-related topic. The second chapter presents the programming languages and available automated tools that enable the development of AI applications for medical imaging. The third chapter endeavours to analyse the main traditional machine learning techniques, explaining algorithms such as random forests, support vector machines as well as basic neural networks. The applications of those machines on the analysis of radiomics data is expanded in the fourth chapter to allow the understanding of algorithms used to build classifiers for the diagnosis of disease processes with the use of radiomics. Chapter five provides the basics of natural language processing which has revolutionized the analysis of complex radiological reports and chapter six affords a succinct introduction to convolutional neural networks which have revolutionized medical image analysis enabling automated image-based diagnosis, image enhancement (e.g. denoising), protocolling etc. The penultimate chapter provides an introduction to data preprocessing for use in the aforementioned artificial intelligence applications. The book concludes with a chapter demonstrating AI-based tools already in radiological practice while providing an insight about the foreseeable future. It will be a valuable resource for radiologists, computer scientists and postgraduate students working on medical image analysis.Table of Contents What is artificial intelligence: history and basic definitions (Manolis Koltsakis, Apostolos Karantanas) Programming languages and tools used for AI applications (George Manikis, Kostas Marias) Introduction to traditional machine learning (Sara Colantonio) Machine learning methods for radiomics analysis (Michail Klontzas) Natural Language Processing (NLP) (Claudio Fanni) Deep learning (Lefteris Trivizakis, Kostas Marias) Data preparation for AI purposes (Andrea Barucci) Current applications of AI in medical imaging (Gianfranco di Salle)

Read more less

Book SynopsisThis book constitutes the refereed proceedings of the Third EAI International Conference on IoT and Big Data Technologies for Health Care, IotCARE 2022, which took place virtually during December 12-13, 2022.The 23 papers included in this volume were carefully reviewed and selected from 67 submissions. The papers are present newest results in big data technologies for e-health and for e-care. The papers are organized in the following topical sections: big data technologies for e-health; and big data technologies for e-care.Table of Contents​Big data technologies for e-health: A Review of Computer-Assisted Techniques Performances in Malaria diagnosis.- Research on Cloud Health Privacy Information Protection Algorithm Based on Data Mining.- Data Security Mining Method for Social Media Users’ Mental Health Status Test Based on Machine Learning Algorithm.- Early Warning Method of College Students Mental Subhealth Based on Internet of Things.- Automatic Assessment Method of College Students Psychological Stress Based on Medical Big Data.- Research on Medical Sensitive Data Protection Algorithm Based on Differential Privacy.- Classification and Storage Method of Medical Health Monitoring Data Based on Bayesian Algorithm.- Analysis on The Balance of Health Care Resource Allocation Based on Improved Machine Learning.- Data Acquisition Method of Human Injury in Sports Based on Internet of Things.- Big data technologies for e-care.- The Psychosocial Therapy Mode Intervened in the Emotion Management of Property Management Staff.- Personalized Recommendation Method of Maternal and Child Health Education Resources Based on Association Rule Mining Algorithm.- Methods of Integrating Ideological and political education into health management in Colleges and Universities Based on Internet of things technology.- Data Mining of Psychological Tendency and Health of Students in Ideological and Political Middle School Students in Tourism English Course in Higher Vocational Colleges Based on SVM.- Intelligent Imaging Method of Nuclear Magnetic Resonance Medical Devices Based on Compression Sensing.- Evaluation of Post Fitness of Employees in Health Care Enterprises Based on Big Data.- Design of Telemedicine and Health Care System Based on Embedded Technology.- Anomaly Detection Method of Healthcare Internet of Things Gateway Supporting Edge Computing.- Research on Fast Encryption of Electronic Health Record Data Based on Privacy Protection.- Research on Secure Storage of Healthcare Data in The Environment of Internet of Things.- Architecture of Wide Area Health Monitoring System.- Internet of Things Technologies in Healthcare for People with Hearing Impairments.- Artificial Intelligence-Based Early Warning Method forAbnormal Operation and Maintenance Data of Medical and Health Equipment.- Abnormal Signal Recognition Method of Wearable Sensor Based on Machine Learning.

Read more less

Book SynopsisThis book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022. The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2022), Diabetic Retinopathy Analysis Challenge (CRAC 2022) The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.Table of ContentsPreface DRAC 2022.- nnU-Net Pre- and Postprocessing Strategies for UW-OCTA Segmentation Tasks in Diabetic Retinopathy Analysis.- Automated analysis of diabetic retinopathy using vessel segmentation maps as inductive bias.- Bag of Tricks for Diabetic Retinopathy Grading of Ultra-wide Optical Coherence Tomography Angiography Images.- Deep convolutional neural network for image quality assessment and diabetic retinopathy grading.- Diabetic Retinal Overlap Lesion Segmentation Network.- An Ensemble Method to Automatically Grade Diabetic Retinopathy with Optical Coherence Tomography Angiography Images.- Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity.- Deep-OCTA: Ensemble Deep Learning Approaches for Diabetic Retinopathy Analysis on OCTA Images.- Deep Learning-based Multi-tasking System for Diabetic Retinopathy in UW-OCTA images.- Semi-Supervised Semantic Segmentation Methods for UW-OCTA Diabetic Retinopathy Grade Assessment.- Image Quality Assessment based on Multi-Model Ensemble Class-Imbalance Repair Algorithm for Diabetic Retinopathy UW-OCTA Images.- An improved U-Net for diabetic retinopathy segmentation.- A Vision transformer based deep learning architecture for automatic diagnosis of diabetic retinopathy in optical coherence tomography angiography.- Segmentation, Classification, and Quality Assessment of UW-OCTA Images for the Diagnosis of Diabetic Retinopathy.- Data Augmentation by Fourier Transformation for Class-Imbalance : Application to Medical Image Quality Assessment.- Automatic image quality assessment and DR grading method based on convolutional neural network.- A transfer learning based model ensemble method for image quality assessment and diabetic retinopathy grading.- Automatic Diabetic Retinopathy Lesion Segmentation in UW-OCTA Images using Transfer Learning.- Preface MIDOG 2022.- Reference Algorithms for the Mitosis Domain Generalization (MIDOG) 2022 Challenge.- Radial Prediction Domain Adaption Classifier for the MIDOG 2022 challenge.- Detecting Mitoses with a Convolutional Neural Network for MIDOG 2022 Challenge.- Tackling Mitosis Domain Generalization in Histopathology Images with Color Normalization.- "A Deep Learning based Ensemble Model for Generalized Mitosis Detection in H&E stained Whole Slide Images".- Fine-Grained Hard-Negative Mining: Generalizing Mitosis Detection with a Fifth of the MIDOG 2022 Dataset.- Multi-task RetinaNet for mitosis detection.

Read more less

Book SynopsisThis volume LNCS 13912 constitutes the refereed proceedings of the 20th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2023, in June 12-13, 2023 in Quebec City, QC, Canada. The 9 full papers presented together with 2 short papers were carefully reviewed and selected from 14 submissions. The conference focuses on topics such as Sensors Networks and Data Steaming; Mobility and Navigation; AI for Mobility Data Analytics; Volunteered Geographic information (VGI); Network Analysis and Geovisualization.Table of ContentsKeynote.- An approach for geosensor network optimization to support decisions at multiple Scale.- Sensors Networks and Data Steaming.- Towards Integration of Spatial Context in Building Energy Demand Assessment Supported by CityGML Energy Extension.- Three-stage Framework to Estimate Pedestrian Path by Using Signaling Data and Surveillance Video.- Mobility and Navigation.- Investigating the Navigational Behavior of Wheelchair Users in Urban Environments Using Eye Movement Data.- New Approach for Accessibility Assessment of Side-Walks for Wheelchair Users Considering the Sidewalk Traffic.- AI for Mobility Data Analytics.- Mobility Data Analytics with KNOT: the KNime mObility Toolkit.- Bus Journey Time Prediction with Machine Learning: An Empirical Experience in Two Cities.- A Novel GIS-Based Machine Learning Approach for the Classification of Multi-Motorized Transportation Modes.- Volunteered Geographic information (VGI).- Cimemountainbot: A Telegram Bot to Collect Mountain Images and to Communicate Information With Mountain Guides.- A New Feature Matching Method for Matching OpenStreetMap Buildings with Those of Reference Dataset.- Network Analysis and Geovisualization.- Geovisualisation generation from semantic models: a state of the art.- A Heterogeneous Information Attentive Network for the Identification of Tourist Attraction Competitors.- Poly-GAN: Regularizing Polygons with Generative Adversarial Networks.

Read more less

Book SynopsisThis book aims to serve as a playbook and a guide for the creation of a safer healthcare system in the contemporary healthcare ecosystem. It meets this goal through examinations of clinical case studies that illustrate core principles of patient safety, coverage of a broad range of medical errors including medication errors, and solutions to reducing medical errors that are widely applicable in many settings. Throughout the book, the chapters offer viewpoints from healthcare leaders, accomplished practitioners, and experts in patient safety. In addition to highlighting important concepts in patient safety, the book also provides a vision of patient safety in the subsequent decade. Furthermore, it will describe what changes need to “fall into place” between now and the next 10-15 years to have that future realized. The book presents and analyzes a number of cases to illustrate the most common types of medical errors and to help readers learn the key clinical, organizational, and systems issues in patient safety. Patient Safety, 2nd edition, is an invaluable text for all physicians, healthcare workers, policymakers, and residents who are working towards a more equitable and effective healthcare system. Table of ContentsSection I: IntroductionChapter 1 - Patient safety methodologiesChapter 2 - Measuring patient safety Section II: Concepts Chapter 3 - Patient identificationChapter 4 - Teamwork and communication Chapter 5 - Transitions of Care and CommunicationsChapter 6 - Graduate medical education and patient safetyChapter 7 – Information Technology and patient safetyChapter 8–Clinical ethics and patient safetyChapter 9 – Health Equity: A key aspect of patient safety Chapter 10 – High ReliabilitySection III: ExamplesChapter 11 -Medication errorChapter 12 - Medication reconciliation error Chapter 13 - Retained surgical itemsChapter 14 - Wrong-site surgeryChapter 15 - Transfusion-related hazardsChapter 16 - Hospital-acquired infections Chapter 17–Hospital fallsChapter 18- Pressure ulcersChapter 19 - Diagnostic errorSection IV: Special considerations Chapter 20–Patient safety in pediatricsChapter 21 - Patient safety in radiology Chapter 22- Patient safety in anesthesiaChapter 23 - Patient safety in behavioral healthChapter 24–Patient safety in outpatient careChapter 25 - Patient safety in critical careChapter 26: Patient safety in long-term care and nursing homesChapter 27: Patient safety in emergency departmentSection V: Organizational issues Chapter 28–Error disclosureChapter 29–The culture of safetyChapter 30 - Second victim

Read more less

Book SynopsisThis book is a beginner's guide to AutomationML Edition 2, written for students, engineers, lecturers, developers and those interested. In guides through the basics of AutomationML Edition 2, CAEX and the AutomationML Editor. AutomationML stands for digitisation of engineering data and engineering workflows. AutomationML achieves both human readability and machine-readability. It is a method for converting data into digital information, and it supports the special needs of iterative engineering data exchange. AutomationML is in the hot spot of the digitisation of automation engineering data. It enables the modelling and transport of engineering data in a vendor neutral and machine-readable models, a valuable source of digital innovation. Machine readable engineering data makes the data accessible and interpretable by software, enabling a plethora of opportunities. This book carefully introduces AutomationML, its goals, values and innovations. It teaches the architecture of AutomationML and explains the language elements with a multitude of examples and step-by-step instructions. Additional material to the book and more information about AutomationML on the website: https://www.automationml.org/about-automationml/publications/amlbook/

Read more less