{"product_id":"big-data-analytics-and-machine-intelligence-in-biomedical-and-health-informatics-9781119791737","title":"Big Data Analytics and Machine Intelligence in","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cb\u003eBIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS\u003c\/b\u003e  \u003cp\u003e\u003cb\u003eProvides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics.\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThe novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. \u003c\/p\u003e\u003cp\u003eThe 12 chapters in??\u003ci\u003eBig Data Analytics and Machine Intelligence in Biomedical and Health Informatics\u003c\/i\u003e??cover the latest advances and developments in health informatics, data mini\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 An Introduction to Big Data Analytics Techniques in Healthcare 1\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAnil Audumbar Pise\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e1.1 Introduction 1\u003c\/p\u003e \u003cp\u003e1.2 Big Data in Healthcare 3\u003c\/p\u003e \u003cp\u003e1.3 Areas of Big Data Analytics in Medicine 5\u003c\/p\u003e \u003cp\u003e1.4 Healthcare as a Big Data Repository 9\u003c\/p\u003e \u003cp\u003e1.5 Applications of Healthcare Big Data 10\u003c\/p\u003e \u003cp\u003e1.6 Challenges in Big Data Analytics 16\u003c\/p\u003e \u003cp\u003e1.7 Big Data Privacy and Security 17\u003c\/p\u003e \u003cp\u003e1.8 Conclusion 18\u003c\/p\u003e \u003cp\u003e1.9 Future Work 18\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Identify Determinants of Infant and Child Mortality Based Using Machine Learning: Case Study on Ethiopia 21\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSudhir Kumar Mohapatra, Srinivas Prasad, Getachew Mekuria Habtemariam and Mohammed Siddique\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e2.1 Introduction 22\u003c\/p\u003e \u003cp\u003e2.2 Literature Review 23\u003c\/p\u003e \u003cp\u003e2.3 Methodology and Data Source 25\u003c\/p\u003e \u003cp\u003e2.4 Implementation and Results 28\u003c\/p\u003e \u003cp\u003e2.5 Conclusion 44\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Pre-Trained CNN Models in Early Alzheimer's Prediction Using Post-Processed MRI 47\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eKalyani Gunda and Pradeepini Gera\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e3.1 Introduction 48\u003c\/p\u003e \u003cp\u003e3.2 Experimental Study 51\u003c\/p\u003e \u003cp\u003e3.3 Data Exploration 55\u003c\/p\u003e \u003cp\u003e3.4 OASIS Dataset Pre-Processing 61\u003c\/p\u003e \u003cp\u003e3.5 Alzheimer's 4-Class-MRI Features Extraction 69\u003c\/p\u003e \u003cp\u003e3.6 Alzheimer 4-Class MRI Image Dataset 69\u003c\/p\u003e \u003cp\u003e3.7 RMSProp (Root Mean Square Propagation) 80\u003c\/p\u003e \u003cp\u003e3.8 Activation Function 81\u003c\/p\u003e \u003cp\u003e3.9 Batch Normalization 81\u003c\/p\u003e \u003cp\u003e3.10 Dropout 81\u003c\/p\u003e \u003cp\u003e3.11 Result--I 82\u003c\/p\u003e \u003cp\u003e3.12 Conclusion and Future Work 89\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Robust Segmentation Algorithms for Retinal Blood Vessels, Optic Disc, and Optic Cup of Retinal Images in Medical Imaging 97\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eBirendra Biswal, Raveendra T., Dwiti Krishna Bebarta, Geetha Pavani P. and P.K. Biswal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e4.1 Introduction 98\u003c\/p\u003e \u003cp\u003e4.2 Basics of Proposed Methods 100\u003c\/p\u003e \u003cp\u003e4.3 Experimental Results and Discussion 107\u003c\/p\u003e \u003cp\u003e4.4 Conclusion 115\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Analysis of Healthcare Systems Using Computational Approaches 119\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHemanta Kumar Bhuyan and Subhendu Kumar Pani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e5.1 Introduction 120\u003c\/p\u003e \u003cp\u003e5.2 AI \u0026amp; ML Analysis in Health Systems 124\u003c\/p\u003e \u003cp\u003e5.3 Healthcare Intellectual Approaches 127\u003c\/p\u003e \u003cp\u003e5.4 Precision Approaches to Medicine 133\u003c\/p\u003e \u003cp\u003e5.5 Methodology of AI, ML With Healthcare Examples 134\u003c\/p\u003e \u003cp\u003e5.6 Big Analytic Data Tools 136\u003c\/p\u003e \u003cp\u003e5.7 Discussion 141\u003c\/p\u003e \u003cp\u003e5.8 Conclusion 142\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Expert Systems in Behavioral and Mental Healthcare: Applications of AI in Decision-Making and Consultancy 147\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShrikaant Kulkarni\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e6.1 Introduction 148\u003c\/p\u003e \u003cp\u003e6.2 AI Methods 149\u003c\/p\u003e \u003cp\u003e6.3 Turing Test 156\u003c\/p\u003e \u003cp\u003e6.4 Barriers to Technologies 157\u003c\/p\u003e \u003cp\u003e6.5 Advantages of AI for Behavioral \u0026amp; Mental Healthcare 157\u003c\/p\u003e \u003cp\u003e6.6 Enhanced Self-Care \u0026amp; Access to Care 158\u003c\/p\u003e \u003cp\u003e6.7 Other Considerations 160\u003c\/p\u003e \u003cp\u003e6.8 Expert Systems in Mental \u0026amp; Behavioral Healthcare 161\u003c\/p\u003e \u003cp\u003e6.9 Dynamical Approaches to Clinical AI and Expert Systems 165\u003c\/p\u003e \u003cp\u003e6.10 Conclusion 173\u003c\/p\u003e \u003cp\u003e6.11 Future Prospects 175\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 A Mathematical-Based Epidemic Model to Prevent and Control Outbreak of Corona Virus 2019 (COVID-19) 187\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eShanmuk Srinivas Amiripalli, Vishnu Vardhan Reddy Kollu, Ritika Prasad and Mukkamala S.N.V. Jitendra\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e7.1 Introduction 188\u003c\/p\u003e \u003cp\u003e7.2 Related Work 189\u003c\/p\u003e \u003cp\u003e7.3 Proposed Frameworks 190\u003c\/p\u003e \u003cp\u003e7.4 Results and Discussion 194\u003c\/p\u003e \u003cp\u003e7.5 Conclusion 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 An Access Authorization Mechanism for Electronic Health Records of Blockchain to Sheathe Fragile Information 205\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSowjanya Naidu K. and Srinivasa L. Chakravarthy\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e8.1 Introduction 206\u003c\/p\u003e \u003cp\u003e8.2 Related Work 212\u003c\/p\u003e \u003cp\u003e8.3 Need for Blockchain in Healthcare 216\u003c\/p\u003e \u003cp\u003e8.4 Proposed Frameworks 219\u003c\/p\u003e \u003cp\u003e8.5 Use Cases 223\u003c\/p\u003e \u003cp\u003e8.6 Discussions 229\u003c\/p\u003e \u003cp\u003e8.7 Challenges and Limitations 231\u003c\/p\u003e \u003cp\u003e8.8 Future Work 231\u003c\/p\u003e \u003cp\u003e8.9 Conclusion 232\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 An Epidemic Graph's Modeling Application to the COVID-19 Outbreak 237\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eHemanta Kumar Bhuyan and Subhendu Kumar Pani\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e9.1 Introduction 237\u003c\/p\u003e \u003cp\u003e9.2 Related Work 239\u003c\/p\u003e \u003cp\u003e9.3 Theoretical Approaches 240\u003c\/p\u003e \u003cp\u003e9.4 Frameworks 243\u003c\/p\u003e \u003cp\u003e9.5 Evaluation of COVID-19 Outbreak 246\u003c\/p\u003e \u003cp\u003e9.6 Conclusions and Future Works 250\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Big Data and Data Mining in e-Health: Legal Issues and Challenges 257\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eAmita Verma and Arpit Bansal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003eObject of Study 257\u003c\/p\u003e \u003cp\u003e10.1 Introduction 258\u003c\/p\u003e \u003cp\u003e10.2 Big Data and Data Mining in e-Health 260\u003c\/p\u003e \u003cp\u003e10.3 Big Data and e-Health in India 262\u003c\/p\u003e \u003cp\u003e10.4 Legal Issues Arising Out of Big Data and Data Mining in e-Health 263\u003c\/p\u003e \u003cp\u003e10.5 Big Data and Issues of Privacy in e-Health 271\u003c\/p\u003e \u003cp\u003e10.6 Conclusion and Suggestions 272\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Basic Scientific and Clinical Applications 275\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eManna Sheela Rani Chetty and Kiran Babu C. V.\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e11.1 Introduction 275\u003c\/p\u003e \u003cp\u003e11.2 Case Study-1: Continual Learning Using ML for Clinical pplications 283\u003c\/p\u003e \u003cp\u003e11.3 Case Study-2 286\u003c\/p\u003e \u003cp\u003e11.4 Case Study-3: ML Will Improve the Radiology Patient Experience 289\u003c\/p\u003e \u003cp\u003e11.5 Case Study-4: Medical Imaging AI with Transition from Academic Research to Commercialization 292\u003c\/p\u003e \u003cp\u003e11.6 Case Study-5: ML will Benefit All Medical Imaging 'ologies' 295\u003c\/p\u003e \u003cp\u003e11.7 Case Study-6: Health Providers will Leverage Data Hubs to Unlock the Value of Their Data 298\u003c\/p\u003e \u003cp\u003e11.8 Conclusion 300\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Healthcare Branding Through Service Quality 305\u003c\/b\u003e\u003cbr\u003e\u003ci\u003eSaraju Prasad and Sunil Dhal\u003c\/i\u003e\u003c\/p\u003e \u003cp\u003e12.1 Introduction to Healthcare 305\u003c\/p\u003e \u003cp\u003e12.2 Quality in Healthcare 307\u003c\/p\u003e \u003cp\u003e12.3 Service Quality 311\u003c\/p\u003e \u003cp\u003e12.4 Conclusion and Road Ahead 315\u003c\/p\u003e \u003cp\u003eReferences 316\u003c\/p\u003e \u003cp\u003eIndex 321\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":49407154422103,"sku":"9781119791737","price":136.8,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781119791737.jpg?v=1730498360","url":"https:\/\/bookcurl.com\/products\/big-data-analytics-and-machine-intelligence-in-biomedical-and-health-informatics-9781119791737","provider":"Book Curl","version":"1.0","type":"link"}