Applications in industry and technology Books

Book SynopsisThe book collects the contributions to the NATO Advanced Study Institute on "Speech Recognition and Understanding: Recent Advances, Trends and Applications", held in Cetraro, Italy, during the first two weeks of July 1990. This Institute focused on three topics that are considered of particular interest and rich of i'p.novation by researchers in the fields of speech recognition and understanding: Advances in Hidden Markov modeling, connectionist approaches to speech and language modeling, and linguistic processing including language and dialogue modeling. The purpose of any ASI is that of encouraging scientific communications between researchers of NATO countries through advanced tutorials and presentations: excellent tutorials were offered by invited speakers that present in this book 15 papers which sum­ marize or detail the topics covered in their lectures. The lectures were complemented by discussions, panel sections and by the presentation of related works carried on by some of the attending researchers: these presentations have been collected in 42 short contributions to the Proceedings. This volume, that the reader can find useful for an overview, although incomplete, of the state of the art in speech understanding, is divided into 6 Parts.Table of Contents1 Recent Results on Hidden Markov Models.- Invited papers.- Hidden Markov Models for Speech Recognition — Strengths and Limitations.- Hidden Markov Models and Speaker Adaptation.- A 20,000 word Automatic Speech Recognizer. Adaptation to French of the US TANGORA System.- Automatic Adjustments of the Markov Models Topology for Speech Recognition Applications over the Telephone.- Phonetic Structure Inference of Phonemic HMM.- Phonetic Units and Phonotactical Structure Inference by Ergodic Hidden Markov Models.- Clustering of Gaussian Densities in Hidden Markov Models.- Developments in High-Performance Connected Digit Recognition.- Robust Speaker-Independent Hidden Markov Model Based Word Spotter.- Robust Speech Recognition in Noisy and Reverberant Environments.- An ISDN Speech Server based on Speaker Independent Continuous Hidden Markov Models.- RAMSES: A Spanish Demisyllable Based Continuous Speech Recognition System.- Speaker Independent, 1000 Words Speech Recognition in Spanish.- Continuously Variable Transition Probability HMM for Speech Recognition.- 2 Continuous Speech Recognition Systems.- Invited papers.- Context-Dependent Phonetic Hidden Markov Models for Speaker-Independent Continuous Speech Recognition (Abstract).- Speaker-Independent Continuous Speech Recognition Using Continuous Density Hidden Markov Models.- Contributed papers.- A Fast Lexical Selection Strategy for Large Vocabulary Continuous Speech Recognition.- Performance of a Speaker-Independent Continuous Speech Recognizer.- Automatic Transformation of Speech Databases for Continuous Speech Recognition.- Iterative Optimization of the Data Driven Analysis in Continuous Speech.- Syllable-based Stochastic Models for Continuous Speech Recognition.- Word Hypothesization in Continuous Speech Recognition.- Phone Recognition Using High Order Phonotactic Constraints.- An Efficient Structure for Continuous Speech Recognition.- Search Organization for Large Vocabulary Continuous Speech Recognition.- 3 Connectionist Models of Speech.- Invited papers.- Neural Networks or Hidden Markov Models for Automatic Speech Recognition: Is there a Choice?.- Neural Networks for Continuous Speech Recognition.- Connectionist Large Vocabulary Speech Recognition.- The Cortical Column as a Model for Speech Recognition: Principles and First Experiments.- Contributed papers.- Radial Basis Functions for Speech Recognition.- Phonetic Features Extraction Using Time-Delay Neural Networks.- Improved Broad Phonetic Classification and Segmentation with an Auditory Model.- Automatic Learning of a Production Rule System for Acoustic-Phonetic Decoding.- 4 Stochastic Models for Language and Dialogue.- Invited papers.- Stochastic Grammars and Pattern Recognition.- Basic Methods of Probabilistic Context Free Grammars.- A Probabilistic Approach to Person-Robot Dialogue.- Contributed papers.- Experimenting Text Creation by Natural-Language, Large-Vocabulary Speech Recognition.- DUALGRAM: An Efficient Method for Representing Limited-Domain Language Models.- Strategies for Speech Recognition and Understanding Using Layered Protocols.- 5 Understanding and Dialogue Systems.- Invited papers.- TINA: A Probabilistic Syntactic Parser for Speech Understanding Systems.- The Voyager Speech Understanding System: A Progress Report.- The Interaction of Word Recognition and Linguistic Processing in Speech Understanding.- Linguistic Processing in a Speech Understanding System.- Contributed papers.- Linguistic Tools for Speech Recognition and Understanding.- Evidential Reasoning and the Combination of Knowledge and Statistical Techniques in Syllable Based Speech Recognition.- 6 Speech Analysis, Coding and Segmentation.- Contributed papers.- Data Base Management for Use with Acoustic-Phonetic Speech Data Bases.- BPF Outputs Compared with Formant Frequencies and LPCs for the Recognition of Vowels.- A Codification of Error Signal by Splines Functions.- Specific Distance for Feature Selection in Speech Recognition.- Multiple Template Modeling of Sublexical Units.- Learning Structural Models of Sublexical Units.- On the Use of Negative Samples in the MGGI Methodology and its Application for Difficult Vocabulary Recognition Tasks.- A New Method for Dynamic Time Alignment of Speech Waveforms.- A New Technique for Automatic Segmentation of Continuous Speech.- Segmentation of Speech based upon a Linear Model of the Effects of Coarticulation 549 P.J. D.

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Book SynopsisEin allgemeingültiges BIM-Lehrbuch zu den Grundlagen der Arbeitsmethode BIM für Studierende und Lehrende an den deutschsprachigen Hochschulen. Jedes Kapitel schließt mit reflektierenden und zusammenfassenden Fragen und Übungen zu den vermittelten BIM-Kentnissen und -Fertigkeiten ab. Unabhängig von Institutionen und Software wird das Basiswissen neutral vermittelt. Videos zur Implementierung von BIM im Unternehmen runden das Lehbuch ab. Die Publikation erscheint in der Springer Vieweg Lehrbuchreihe erfolgreich studieren.Table of ContentsEinleitung.- Grundlagen der BIM-Arbeitsmethode.- Anwendungsformen vom BIM.- BIM Werkzeuge.- BIM-Implementierung.

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Book SynopsisIn April of 1991, 425 partICIpants from 18 countries met in Hamamatsu in Japan for the 6th International Symposium on Computing in Anesthesia and Intensive Care (lSCAIC). The meeting was one of the most spectacular academic and fruitful in the history of ISCAIC. We had four days of fascinating presentations and discussions covering many areas of technology in Anesthesia and intensive care. New technologies were presented and old technology reexamined. The measures of success of the meeting were the excellent research material in oral and poster presentations, and state of the art reviews of the latest issues by distinguished worldwide key speakers. It must be sure that the meeting was most effective to promote and disseminate up-to-date information in these fields across the participating countries. The aim of this book is to record the exciting achievements of the meeting and extend them further among our colleagues. We hope the readers of this book will share the same excitation as well as the latest information in this speciality. Finally we would like to extend our deepest gratitude to all participants and others for the contribution to the compilation of this book. Kazuyuki Ikeda, M.D.Table of ContentsPatient Safety: Minimum Requirements and Advanced Techniques in Monitoring.- Minimum Monitoring Requirements (USA).- Oxygen Monitoring in Respiratory Gas.- Anesthetic Gas Monitoring.- Intraoperative Echocardiography.- CNS Monitoring.- Patient Monitoring — The European View.- Artificial Intelligence.- Artificial Neural Networks in Medical Monitoring: A Primer for Physicians.- The Use of Model and Artificial Intelligence Techniques in Patient Monitoring.- Expert System.- A Computational Architecture Using Procedural Reasoning for Decision Support in Anesthesiology.- Critical Care Decision Support Systems.- Intelligént Alarm System for Anesthesia (IASA).- A Knowledge Based Alarmer for the Postoperative Care of Cardiac Patients.- Medical Expert Systems with Physiological Models for Hemodynamical Monitoring.- Information Interpretation in a Real-Time Knowledge-Based Respiratory Monitoring System.- Computer Assisted Diagnostic Procedures in the Pain Clinic Using an Expert System.- Simulation and Modeling.- ASC: Educational Anesthesia Simulator with Expert System.- Digital Computer Simulation of Cardiovascular System in Bleeding Patient for Clinical Management.- Gas Man Simulates Correct Alveolar Plateaus and Quantifies Overpressure for Desired Alveolar Tension.- Real Time Joint of Pharmacokinetic Simulation and Monitoring in Inhalational Agents.- A 24-Hour Prediction Model of Blood Pressure Employing Endocrine System and Autonomic Nervous System.- A Simulation Analysis for Optimal Plasma Potassium Concentration during Cardiopulmonary Extracorporeal Bypass.- Eucapnic Hyperpnea Facilitates Recovery from Inhalational Anesthesia.- Anaesthetic Agent Uptake and Distribution.- A Theoretical Analysis of Optimal Control of Cardiovascular System.- Education.- A Revised Computer Program for Respiratory Care and Blood Gases.- Use of Pharmacologic Models for Teaching Anesthesiology Residents.- Automated Control.- Computer Controlled Infusion Systems.- Computer Controlled Continuous Infusion.- A Computer-Aided Controller of Fluid Infusion Rate in Post- Operative Management of Open Heart Surgery.- Computer Aided Patient (CAP) Care System.- Fluid Control Based on Fuzzy Control Algorithm.- A Simulation and a Control System of Neuromuscular Blockade.- Evaluation of a Computer Aided Propofol Infusion System.- Computerised Alfentanil Infusion in Postoperative Analgesia.- Assessment of the Value of Computerized Propofol Infusion.- Development of a Computer Controlled Infusion System.- Isocapnic Clamping with Feedback and Feed-Forward Control.- The Intelligent Control System of Physiological System Regulation.- Performance Evaluation of a Closed-Loop Sodium Nitroprusside Delivery Device during Hypotensive Anesthesia in Mongrel Dogs.- Adaptive Control of Arterial Pressure: A Supervisor can Improve Safety and Efficacy.- A Computer Control System of Applying Anesthesia Using Fuzzy Logic for Medical Operation (Categorization of anaesthesiologists thinking represented by artificial intelligence and comparison of each category).- Automatic Adjustment of Minute Volume by Carbon Dioxide Excretion with Servocontrol System.- Patient Data Management System.- Patient Data Management.- Anesthesia Records, Displays, and Alarms.- PDP System/PC an Efficient Combination for Data Management in the Intensive Care Unit.- Data Management in the Operating Room and Intensive Care.- Computerized Monitoring and Recording System in Anesthesia and Intensive Care Medicine Using an Engineering Work Station.- Computerized Intraoperative Monitoring System at Montefiore University Hospital.- Microcomputer Management of Anesthetized Patients’ Information.- Laboratory Data Management in Our ICU.- A Computerized Graphic Monitoring System for the Management of Open Heart Surgery.- The Anesthesia Information Console: An Integrated Information System for Anesthetic Care.- Perioperative Data Management System — An Initial Report on the Intraoperative Patient Data Management System.- Automated Analog and Digital Data Logging System in Intensive Care Unit.- Clinical Process Models for Intensive Care.- Ohmeda Arkivel Patient Information Management System — An Operating Room Based Database Analysis Network.- Network.- LAN in the Automatic Collection of Postoperative Monitoring Data.- Multiple Media for Monitoring Respired Air during Anesthesia.- On-Line Data Integration System in Kanazawa Medical University Hospital.- Intraoperative Transmission of Digital Data Using Intelligent Radio Modems.- Use of an Inter-Bed Local Area Network System in Operating Room.- A System of Computer Integration of Patient Monitors in Operating Rooms.- Development of Operation System.- On-line Multi-Channel Audio-Video Signal Transmission by Optical Fiber and its Clinical Use.- Wireless Data Communication: Example of an Application for the Operating Room.- Remote Monitoring of Home Ventilation Through the Personal Paging System.- Data Base.- Anesthetic Concerns in Uncommon Diseases — A New Database.- Data-Base in Our Department Using REXAS as a Sort of LAN.- An Application of the Optical Drive System for Keeping Anesthesia Records.- An Ultrafiche Storage of Anesthesia Case, Computer Display and Search by a Scanner.- Management of Anesthesia Record Using Hyper-Text System.- Data Record.- Monitor; a Low Cost, Versatile Acquisition Program.- Time Keeper and History Maker in an Anesthesia Practice.- Clinical Usefulness of Fiberoptic D-C Coupling EKG Monitoring System.- Registration of Data during Narcosis for Scientific Evaluation.- Registration and Documentation of All Data Relevant for Narcosis.- Continuous Digital Values Recording in Hemodynamic Research.- An Application of a Data Transfer Program (Lotus Measure™) with a Pulse Oximeter.- A Personal Computerized Anesthesia Recording System — With Multiplexer and Serial Interfaced Monitors.- Automated Record Keeping.- Information Management Systems, Especially the Automatic Anesthetic Record Keeper.- The Influence of the Automatic Anesthetic Recording on Surgeon- Anesthetist Relationship.- Automatic Recording in Clinical Anaesthesia: Three Years Experience.- What do We Write on Anesthesia Records? — Analysis of Descriptive Information.- Automated Data Collection in a Simulated Respiratory Circuit.- Development of a Computer-Assisted Monitoring System for the ICU Patient Management.- Anesthesia Machine.- Anesthesia Machine Design.- Systems Engineering.- A Turning Point to Systems Engineering.- People and Machine Interface.- Anesthesia Record Keeping by Voice Recognition System.- Bar Code System Applied to Operation Center of University Hospital.- Medical Data Collection — The Human Interface Bar Code Entry, Hand Held Terminals.- Visibility of the Luminous Type Numerical Display Devices Installed the Medical Diagnostic Instruments Influenced by the Irradiation Illuminance.- A Compact TV Screen, a New Monitoring Device of Operative Field.- Quality Assurance.- Minimum Anaesthetic Peroperative Audit Dataset.- Computerized Quality Assurance Assessment of Obstetric Anesthesia Care: New Outcome Indicators.- Quality Assurance in Anesthesia Practice from the View Point of Personal Workload with Variability.- Patient Monitoring (Circulation).- Validity of Continuous Cardiac Output Measured by a Doppler Pulmonary Artery Catheter Versus Thermodilution, and Effect of Distal Angle on the Variance Between Methods.- Noninvasive Continuous Blood Pressure Measurement with the Cortronic APM 770™.- Intraoperative Myocardial Ischemia Detected by Multiple ECG Leads.- Continuous Thermographic Determination of Myocardial Ischemic Area in Dogs.- New Approach to Central Venous Pressure Monitoring.- Pressure Pulse Transmission Ratio (PPTR) of Inferior Vena Cava and the Blood Volume Status.- Online Analysis of Cardiovascular Control Factors by Power Spectral Analysis on the Heart Rate Variability during Anesthesia.- Continuous Evaluating System of Cardiac Output in Patients with Intra-Aortic Balloon Pumping.- Continuous Pulse Contour Cardiac Output during Major Abdominal Vascular Surgery.- Calculation of Pulmonary Capillary Pressure from Pulmonary Artery and Venous Wedge Pressures in Children.- Clinical Application of CCOM — Report of Post Op. Bleeding Case.- Continuous Cardiac Output Monitoring System Applying Fick’s Principle.- Continuous, On-Line, Real-Time Spectral Analysis of Heart Rate Variations during Anesthesia.- Patient Monitoring (Respiration).- End-Tidal PCO2: A Clinical Noninvasive Cardiac Output Monitor.- Ventilator Work Ratio: A Guide to the Adequacy of Weaning.- Measurement of Respiratory Work in the Breath by Breath Technique on the Continuous Respiratory Monitoring System in ICU.- Measurement of Lung Mechanics in Mechanically Ventilated Infants.- Respiratory Loop Analysis Using the Respiratory Inductance Plethysmography in Infants and Children.- Patient Monitoring (Oxygen metabolism).- Clinical Evaluation of Continuous Metabolic Monitoring in ICU.- Continuous Monitoring of Oxygen Delivery & Consumption.- The Precision of Oxygen Consumption and Delivery in a Computer Integrated Fick Based Monitoring System.- Simultaneous Measurements of SvO2 and SjO2 during Major Cardiac Surgeries.- Non-Invasive Monitoring of the Total Body Oxygen Uptake and Carbon Dioxide Production during Anesthesia.- Patient Monitoring (Neuromuscular junction).- A System for On-Line Analysis of Neuromuscular Blockade during Anesthesia by Use of a Personal Computer.- Patient Monitoring (Coagulation).- Problems Associated with Coagulation Monitoring during Cardiovascular Surgery.- Use of the Coagulation Monitor 512 for Reversal of Heparin-Induced Anticoagulation and the Effect of Fresh Frozen Plasma.- Patient Monitoring (Body temperature).- Evaluation of a New, Improved Deep Body Thermometry System.- Transesophageal Echocardiography.- Another Application of Transesophageal Echocardiography — Aortic Annulus Measurement.- Verification of the Tip Position of Intra-Aortic Balloon Pump Catheter by Perioperative Transesophageal Echocardiography.- Implications of Transesophageal Echocardiography as a Monitoring Device during Cardiac Anesthesia.- Pulse Oximetry.- Pulse Oximetry.- Comparison of Hypoxemia during One Lung Anesthesia with or without Pulse Oximeter.- An Effect of Unstable Hemoglobin Köln on Oximetry.- The Influence of Hematocrit and Blood Flow Conditions on Pulse Oximetry Accuracy.- Electroencephalography.- The Efficacy of Aperiodic Analysis of the Electroencephalogram (EEG) during Anesthesia.- The Lifescan™ EEG Monitor for Detection of Cerebral Ischemia in Carotid Endarterectomy: Case Reports, Prospective Study of Comparison Between Lifescan™ and Somatosensory Evoked Potential (SEP).- Intra-Operative EEG Monitoring: Monitoring of Background Rhythm and Paroxysmal Activity.- Evoked Potential.- Knowledge-Based Automatic Flash Evoked Potential Recognition System.- Automated Flash Visual Evoked Potential Monitoring: Comparison with Intracranial Pressure.- Gastrointestinal Tissue pH Monitoring.- New Objetives in the Resuscitation of the Critically III.- Studies on Prediction and Prevention of Stress Ulcer Using Tonometry, Reflectance Spectrophotometry and Oxygenated Perfluorochemicals.- Near Infrared Spectroscopy.- Experimental Study of Noninvasive Tissue Oxygenation Monitoring with Near-Infrared Spectroscopy.- Noninvasive Monitoring of Tissue Oxygenation by Near Infrared Spectroscopy.- Gas Analyzer.- A Case Study of Characterization and Continuous Monitoring of Trace Odorants in the Shinshu University School of Medicine Hospital ICU Room Air.- Simultaneous Measurement of 5 Anesthetic and 3 Respiratory Gases with Quadrupole Mass Spectrometer and Simple Technique of Calibration.- Miscellaneous.- A Request for Native English Speakers from Non-Natives.- Development and Application of Apple II Microcomputer System in Anesthesia.- Intraoperative Assessment of the Corrective Surgery of Tetralogy of Fallot.- Human Factors Affecting the Accuracy of Hand-Written Arterial Pressure Record.- An Assessment of Frequency Characteristics of the Fluid-Filled Catheter-Manometer System.- Multiple Monitors of Hemodynamics and Oxygenation during High Dose Thiopental.- A Ventilator to Create a Ventilatory Pattern Which Harmonizes with a Patient.- Estimation for Maximum Dosage of Lidocaine in Interpleural Block.- The Application of SALS (Statistical Analysis with the Least Square) to Michaelis-Menten Pharmacokinetics of Phenytoin.- Comments.- Author Index.

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Book SynopsisThis book includes selected peer-reviewed papers presented at the International Conference on Trends in Electronics and Health Informatics (TEHI 2021), organized by Department of Electronics and Communication Engineering and Department of Computer Science and Engineering, Pranveer Singh Institute of Technology Kanpur, India, during 16–17 December 2021. The book is broadly divided into five sections—artificial intelligence and soft computing, healthcare informatics, Internet of things and data analytics, electronics, and communications.Table of ContentsA Heuristic Approach for Analyzing Some Reading Behaviors of Online News Viewers Using RF and KNN.- Automatic Image Classication and Abnormality Identification Using Machine Learning.- A Review of Speech Sentiment Analysis using Machine Learning.- Performance Evaluation of Enhancement Algorithm for Contrast Distorted Images.- MHGSO: A Modified Hunger Game Search Optimizer Using Opposition-Based Learning for Feature Selection.- Analysis of Hyperspectral Image Denoising Using Deep Neural Network (DNN) Models.- Significance of Source Information in Hypernasality Detection.- Estimation in Agile Software Development using Artificial Intelligence.- Human Fall Detection Analysis with Image Recognition Using Convolutional Neural Network Approach.- A Method for Detecting Epileptic Seizure in Pediatrics Patients based on EEG Signals.

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Book SynopsisThis book presents the best-selected research papers presented at the 3rd International Conference on Activity and Behavior Computing (ABC 2021), during 20–22 October 2021. The book includes works related to the field of vision- and sensor-based human action or activity and behavior analysis and recognition. It covers human activity recognition (HAR), action understanding, gait analysis, gesture recognition, behavior analysis, emotion, and affective computing, and related areas. The book addresses various challenges and aspects of human activity recognition—both in sensor-based and vision-based domains. It can be considered as an excellent treasury related to the human activity and behavior computing. Table of ContentsChapter 1. Toward the Analysis of Office Worker’s Mental Indicators Based on Activity Data.- Chapter 2. Open-Source Data Collection for Activity Studies at Scale.- Chapter 3. Using LUPI to Improve Complex Activity Recognition.- Chapter 4. Attempts toward Behavior Recognition of the Asian Black Bears using an Accelerometer.- Chapter 5. Using Human Body Capacitance Sensing to Monitor Leg Motion Dominated Activities with a Wrist Worn Device.- Chapter 6. BoxerSense: Punch Detection and Classification Using IMUs.- Chapter 7. FootbSense: Soccer Moves Identification Using a Single IMU.- Chapter 8. A data-driven approach for online pre-impact fall detection with wearable devices.- Chapter 9. Modeling Reminder System for Dementia by Reinforcement Learning.- Chapter 10. Can Ensemble of Classifiers Provide Better Recognition Results in Packaging Activity?.- Chapter 11. Identification of Food Packaging Activity Using MoCap Sensor Data.- Chapter 12. Lunch-Box Preparation Activity Understanding from Motion Capture Data Using Handcrafted Features.- Chapter 13. Bento Packaging Activity Recognition Based on Statistical Features.- Chapter 14. Using k-Nearest-Neighbors Feature Selection for Activity Recognition.- Chapter 15. Bento Packaging Activity Recognition from Motion Capture Data.- Chapter 16. Bento Packaging Activity Recognition with Convolutional LSTM using Autocorrelation Function and Majority Vote.- Chapter 17. Summary of the Bento Packaging Activity Recognition Challenge.

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Book SynopsisThis book focuses on contemporary technologies and research in computational intelligence that has reached the practical level and is now accessible in preclinical and clinical settings. This book's principal objective is to thoroughly understand significant technological breakthroughs and research results in predictive modeling in healthcare imaging and data analysis. Machine learning and deep learning could be used to fully automate the diagnosis and prognosis of patients in medical fields. The healthcare industry's emphasis has evolved from a clinical-centric to a patient-centric model. However, it is still facing several technical, computational, and ethical challenges. Big data analytics in health care is becoming a revolution in technical as well as societal well-being viewpoints. Moreover, in this age of big data, there is increased access to massive amounts of regularly gathered data from the healthcare industry that has necessitated the development of predictive models and automated solutions for the early identification of critical and chronic illnesses. The book contains high-quality, original work that will assist readers in realizing novel applications and contexts for deep learning architectures and algorithms, making it an indispensable reference guide for academic researchers, professionals, industrial software engineers, and innovative model developers in healthcare industry.Table of Contents​Segmentation of White Blood Cells in Acute Myeloid Leukaemia Microscopic Images: The Current Challenges and Future Solutions.- Computer Vision Based Prognostic Modeling of COVID-19 from Medical Imaging.- Skin Lesion Classification From Dermoscopic Images with Deep Residual Network based Fused Pigmented Deep Feature Extraction and Entropy Based Best Features Selection Approach.- Computer Vision Technologies for COVID-19 Prediction, Diagnosis and Prevention.- Health monitoring methods in heart diseases based on data mining approach, a directional survey.- Machine learning based brain diseases diagnosing in electroencephalogram signals, Alzheimer and Parkinson's.- Skin Lesion Detection Using Recent Machine Learning Approaches.- Improving monitoring and controling parameters for Alzheimer's patients based on IoT.- A Novel Method for Lung Segmentation of Chest with Convolutional Neural Network.- Leukemia Detection Using Machine and Deep Learning Through Microscopic Images-A Review.

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Book SynopsisThis edited book provides information on emerging fields of next-generation healthcare informatics with a special emphasis on emerging developments and applications of artificial intelligence, deep learning techniques, computational intelligence methods, Internet of medical things (IoMT), optimization techniques, decision making, nanomedicine, and cloud computing. The book provides a conceptual framework and roadmap for decision-makers for this transformation. The chapters involved in this book cover challenges and opportunities for diabetic retinopathy detection based on deep learning applications, deep learning accelerators in IoT and IoMT, health data analysis, deep reinforcement-based conversational AI agent in healthcare systems, examination of health data performance, multisource data in intelligent medicine, application of genetic algorithms in health care, mental disorder, digital healthcare system with big data analytics, encryption methods in healthcare data security, computation and cognitive bias in healthcare intelligence and pharmacogenomics, guided imagery therapy, cancer detection and prediction techniques, medical image processing for coronavirus, and imbalance learning in health care.Table of ContentsChapter 1. Methods for the recognition of multisource data in intelligent medicine: A review and next generation trends.- Chapter 2. Deep Learning in Healthcare: Challenges and Opportunities.- Chapter 3. Examination of Health Data Performance Depending on the Creative Use of Optimization Methods and Machine Learning Algorithms.- Chapter 4. Effect of computation and cognitive bias in healthcare intelligence and pharmacogenomics.- Chapter 5. Application of Genetic Algorithms in Healthcare: A Review.- Chapter 6. Decision-Making in Healthcare Nano-informatics.- Chapter 7. A Succinct Analytical Study of the Usability of Encryption Methods in Healthcare Data Security.- Chapter 8. IoMT in healthcare industry – Concepts and Applications.- Chapter 9. The Effect of Heuristic Methods Towards Performance of Health Data Analysis.- Chapter 10. AI for Stress Diagnosis at Home Environment.- Chapter 11. Contemporary Technologies to Combat Pandemics and Epidemics.- Chapter 12. Deep Learning for Diabetic Retinopathy Detection: Challenges and Opportunities.- Chapter 13. Deep Reinforcement Based Conversational AI Agent in Healthcare System.- Chapter 14. Deep Learning Empowered Fight against COVID-19: A Survey.- Chapter 15. Application of GAN in Guided Imagery Therapy.- Chapter 16. Digital Transformation in Healthcare Industry: A Survey.- Chapter 17. Application of Deep Learning in Mental Disorder: Challenges and Opportunities.

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Book SynopsisThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-22), held in Rhodes, Greece, on June 20–22, 2022. Covering a number of key areas, including digital IT architecture in health care; advanced ICT for medicine and health care; biomedical engineering, trends, research, and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists, and anyone wishing to gain an overview of the latest research in these fields.Table of Contents3D Convolutional Neural Network for Covid Assessment on CT Scans.- Prediction Models for COVID-19 in Children.- Society 5.0 as Digital Strategy for Scalability: Tamba's COVID-19 Vaccination Management System and its Expansion.- Analysis of Ensemble Learning for Chest X-Ray Images.- Adaptive Multi-Omics Survival Analysis in Cancer.- Risk Analysis of Developing Lifestyle-related Diseases based on the Content of Social Networking Service Posts.- Digital Twin in Healthcare through the Eyes of the Vitruvian Man.- Relationship between Mental Health, Life Skills and Life Satisfaction among Japanese Athletes.- IT Assisted Gardening for the Revitalization of the Elderly: The Turntable Solution.- Mental Health of the Elderly: Towards a Proposal for a Social Simulator based on the Complexity Approach.

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Book SynopsisThis book presents the proceedings of the KES International Conferences on Innovation in Medicine and Healthcare (KES-InMed-23), held in Rome, Italy, on June 14–16, 2023. Covering a number of key areas, including digital IT architecture in healthcare; advanced ICT for medicine and healthcare; biomedical engineering, trends, research and technologies; and healthcare support systems, this book is a valuable resource for researchers, managers, industrialists and anyone wishing to gain an overview of the latest research in these fields.Table of ContentsDesigning deep learning architectures with neuroevolution. Study case: fetal morphology scan.- Optimized Deployment Planning for Elderly Welfare Facilities Based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly.- Online Parent Counselling in Speech and Language Therapy - the View of the Professionals.- Modelling Competing Risk for Stroke Survival Data.- Artificial Intelligence Chatbots and Conversational Agents - an Overview of Clinical Studies in Health Care.- Challenges and Solutions for Artificial Intelligence Adoption in Healthcare – A Literature Review.- An Explainable Deep Network Framework with Case-based Reasoning Strategies for Survival Analysis in Oncology.- Healthcare under Society 5.0: A Systematic Literature Review of Applications and Case Studies.- Strategic Risk Management for Low-Code Development Platforms with Enterprise Architecture Approach: Case of Global Pharmaceutical Enterprise.- Optimized Deployment Planning for Elderly Welfare Facilities based on Network Theory ~A Case Study of Ibaraki Prefecture's Day Care Welfare Facilities for the Elderly.- Characterizing Groups of Patients with Depression using Clustering Techniques.

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