Ai-Driven Smart Healthcare - Ajay Pratap

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Résumé :

Notes on Contributors xv

Preface xvii

Acknowledgments xix

List of Abbreviations xxi

Introduction xxv

1 Internet of Things, Edge, Fog, and Data Analytics in Smart Healthcare: Introduction, Benefits, and Challenges 1

1.1 Introduction 1

1.2 Use of Edge and Fog Computing for Healthcare Applications 3

1.2.1 Role of Edge Computing in Resource Management 7

1.3 Data Analytics in Healthcare Applications 8

1.3.1 Components of BDA 9

1.4 BDA Applications 10

1.4.1 Challenge in Utilization of Big Data in Healthcare 11

1.5 Use Case Scenarios 13

1.5.1 Use of Data Analysis for Forecasting TB Prevalence Rates 13

1.5.2 Skin Aging Estimation 14

1.5.3 Other Use Cases in Smart Healthcare 16

1.6 Current Challenges and Future Directions 17

1.7 Future Direction: Opening Up Health Data for Research 19

1.8 Conclusion 20

References 21

2 Hyperscale Computing Paradigm in Healthcare 29

2.1 Introduction 29

2.2 The Evolution of Computing in Healthcare 30

2.2.1 Early Era of Digitalization 30

2.2.2 Transition to Cloud Computing 31

2.3 What Is Hyperscale Cloud? 32

2.4 Components of Hyperscale Computing 32

2.4.1 Distributed Systems 32

2.4.2 Cloud Infrastructure 34

2.4.3 Load Balancers 35

2.4.4 Storage Systems 36

2.4.5 Networking and Interconnectivity 36

2.4.6 Compute Resources 36

2.4.7 Automation and Orchestration 37

2.4.8 Security and Compliance 37

2.5 Challenges of Hyperscale Computing in Healthcare 37

2.6 Hyperscale Data Centers 39

2.6.1 Key Components of a Hyperscale Data Center 39

2.7 Tech Giants Playing a Role in Hyperscaling 40

2.8 Public Versus Private Hyperscale Clouds in Healthcare 42

2.9 Depth and Future of Hyperscale Computing in Healthcare 42

2.9.1 Integration of Connected Healthcare and Hyperscale Cloud 44

2.10 Case Studies of Hyperscale Computing in Healthcare 45

References 47

3 Containerized Internet of Medical Things and Serverless Computing for Smart Healthcare Systems 49

3.1 Wireless Technologies Empowering Internet of Medical Things 49

3.2 IoMT and Its Role in Modern Healthcare 50

3.3 Importance of Containerization 52

3.3.1 Benefits of Containerization 52

3.3.2 Use Cases of Containerization 53

3.4 Serverless Computing: Concept and Overview 54

3.4.1 Features of Serverless Computing 55

3.5 Complementing Containerization for Healthcare Applications 55

3.6 Real-world Use Cases 57

3.7 Future Directions in Containerized IoMT and Serverless Healthcare 58

3.8 Conclusion 58

References 59

4 Kubernetes Enabled Resource Management Architecture for Secure Innovation in Healthcare 61

4.1 Overview of Kubernetes and Its Role in Healthcare 61

4.2 Key Features of Kubernetes 62

4.3 Key Kubernetes Concepts 63

4.4 Kubernetes Control Plane and Nodes 64

4.5 Kubernetes Resource Management 65

4.6 Benefits of Kubernetes for the Healthcare Industry 66

4.7 Use Cases of Cloud-native and Kubernetes in Healthcare 67

4.8 Kubernetes as a Solution 68

4.9 Conclusion 70

References 71

5 Exploring Artificial Intelligence (AI) and Machine Learning (ML) for Performance and Predictive Analysis of Various Diseases Using Health-related Data 73

5.1 Introduction 73

5.2 Challenges in Healthcare 75

5.3 Significance of AI and ML in Healthcare 76

5.3.1 Early Diagnosis and Disease Detection 76

5.3.2 Personalized Medicine 77

5.3.3 Improving Clin...

Biographie:

Ajay Pratap is an Assistant Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (BHU), Varanasi, India.

Yashwant Singh Patel is a Postdoctoral Fellow in the Department of Computing Science in Ume? University, Sweden and an Assistant Professor with the Computer Science and Engineering Department (CSED) at Thapar Institute of Engineering & Technology, Punjab, India.

Ram Narayan Yadav is an Assistant Professor in the Electrical and Computer Science Engineering department at the Institute of Infrastructure Technology Research and Management in Ahmedabad, India.

Ali Ahmadian is a Senior Research Scientist at the Decisions Lab, Mediterranean University of Reggio Calabria, Italy and an Adjunct Professor with the Faculty of Engineering and Natural Sciences, Istanbul Okan University, Istanbul, Turkey.

Ashok Kumar Yadav is an Assistant Professor in the Department of Information Technology at the Rajkiya Engineering College in Azamgarh, Uttar Pradesh, India....

Sommaire:

Notes on Contributors xv
Preface xvii
Acknowledgments xix
List of Abbreviations xxi
Introduction xxv

1 Internet of Things, Edge, Fog, and Data Analytics in Smart Healthcare: Introduction, Benefits, and Challenges 1
1.1 Introduction 1
1.2 Use of Edge and Fog Computing for Healthcare Applications 3
1.2.1 Role of Edge Computing in Resource Management 7
1.3 Data Analytics in Healthcare Applications 8
1.3.1 Components of BDA 9
1.4 BDA Applications 10
1.5 Use Case Scenarios 13
1.6 Current Challenges and Future Directions 17
1.7 Future Direction: Opening Up Health Data for Research 19
1.8 Conclusion 20

2 Hyperscale Computing Paradigm in Healthcare 29
2.1 Introduction 29
2.2 The Evolution of Computing in Healthcare 30
2.3 What Is Hyperscale Cloud? 32
2.4 Components of Hyperscale Computing 32
2.5 Challenges of Hyperscale Computing in Healthcare 37
2.6 Hyperscale Data Centers 39
2.7 Tech Giants Playing a Role in Hyperscaling 40
2.8 Public Versus Private Hyperscale Clouds in Healthcare 42
2.9 Depth and Future of Hyperscale Computing in Healthcare 42
2.10 Case Studies of Hyperscale Computing in Healthcare 45

3 Containerized Internet of Medical Things and Serverless Computing for Smart Healthcare Systems 49
3.1 Wireless Technologies Empowering Internet of Medical Things 49
3.2 IoMT and Its Role in Modern Healthcare 50
3.3 Importance of Containerization 52
3.4 Serverless Computing: Concept and Overview 54
3.5 Complementing Containerization for Healthcare Applications 55
3.6 Real-world Use Cases 57
3.7 Future Directions in Containerized IoMT and Serverless Healthcare 58
3.8 Conclusion 58

4 Kubernetes Enabled Resource Management Architecture for Secure Innovation in Healthcare 61
4.1 Overview of Kubernetes and Its Role in Healthcare 61
4.2 Key Features of Kubernetes 62
4.3 Key Kubernetes Concepts 63
4.4 Kubernetes Control Plane and Nodes 64
4.5 Kubernetes Resource Management 65
4.6 Benefits of Kubernetes for the Healthcare Industry 66
4.7 Use Cases of Cloud-native and Kubernetes in Healthcare 67
4.8 Kubernetes as a Solution 68
4.9 Conclusion 70

5 Exploring Artificial Intelligence (AI) and Machine Learning (ML) for Performance and Predictive Analysis of Various Diseases Using Health-related Data 73
5.1 Introduction 73
5.2 Challenges in Healthcare 75
5.3 Significance of AI and ML in Healthcare 76
5.4 Application of AI/ML in Healthcare System 78
5.5 Major Development Phases of AI/ML-based Healthcare Systems 81
5.6 Secure, Private, and Robust AI/ML-based Healthcare: Challenges 85
5.7 Use Case: Diabetes 87
5.8 Challenges and Future Directions 93
5.9 Conclusion 93

6 Algorithmic Frameworks for Cost Minimization in Criticality Aware Mobile Healthcare System 101
6.1 Introduction 101
6.2 Related Works 102
6.3 System Model 104
6.4 Problem Definition 108
6.5 Proposed Auction Mechanism 111
6.6 Analysis of Proposed Mechanism 117
6.7 Performance Study 120
6.8 Conclusion 124

7 Utility-aware Edge Computing System for Remote Health Monitoring 127
7.1 Introduction 127
7.2 Related Works 129
7.3 System Model and Problem Formulation 131
7.4 Proposed Auction Model 136
7.5 Analysis of Proposed Auction Model 142
7.6 Performance Evaluation 143
7.7 Conclusion 148

8 Fog Computing-based WBAN and IoT Framework for Prediction of Various Diseases Using Big Data Analytics 151
8.1 Introduction 151
8.2 The Role of Fog Computing in Healthcare 153
8.3 Big Data Analytics in Healthcare 153
8.4 Wireless Body ...