Advanced Healthcare Systems (eBook, ePUB)

Empowering Physicians with IoT-Enabled Technologies
Redaktion: Tanwar, Rohit; Chithaluru, Premkumar; Bharti, Vishal; Saini, Rakesh Kumar; Balamurugan, S.

• Format: ePub

Produktbeschreibung

ADVANCED HEALTHCARE SYSTEMS This book offers a complete package involving the incubation of machine learning, AI, and IoT in healthcare that is beneficial for researchers, healthcare professionals, scientists, and technologists. The applications and challenges of machine learning and artificial intelligence in the Internet of Things (IoT) for healthcare applications are comprehensively covered in this book. IoT generates big data of varying data quality; intelligent processing and analysis of this big data are the keys to developing smart IoT applications, thereby making space for machine learning (ML) applications. Due to its computational tools that can substitute for human intelligence in the performance of certain tasks, artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Since IoT platforms provide an interface to gather data from various devices, they can easily be deployed into AI/ML systems. The value of AI in this context is its ability to quickly mesh insights from data and automatically identify patterns and detect anomalies in the data that smart sensors and devices generate--information such as temperature, pressure, humidity, air quality, vibration, and sound--that can be really helpful to rapid diagnosis. Audience This book will be of interest to researchers in artificial intelligence, the Internet of Things, machine learning as well as information technologists working in the healthcare sector.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 384
• Erscheinungstermin: 1. Februar 2022
• Englisch
• ISBN-13: 9781119769279
• Artikelnr.: 63398066

Autorenporträt

Rohit Tanwar, PhD (Kurukshetra University, Kurukshetra, India) is an assistant professor in the School of Computer Science at UPES Dehradun, India. S. Balamurugan, PhD, SMIEEE, ACM Distinguished Speaker, received his PhD from Anna University, India. He has published 57 books, 300+ international journals/conferences, and 100 patents. He is the Director of the Albert Einstein Engineering and Research Labs. He is also the Vice-Chairman of the Renewable Energy Society of India (RESI). He is serving as a research consultant to many companies, startups, SMEs, and MSMEs. He has received numerous awards for research at national and international levels. R. K. Saini, PhD (DIT University, Dehradun, India) is an assistant professor in the Department of Computer Science & Applications at DIT University, Dehradun (Uttarakhand). Vishal Bharti, PhD is a professor in the Department of Computer Science and Engineering, Chandigarh University, India. He has published more than 75 research papers in both national & international journals. Premkumar Chithaluru, PhD is an assistant professor in the Department of SCS at the University of Petroleum and Energy Studies (UPES), Dehradun, India.

Inhaltsangabe

Preface xvii

1 Internet of Medical Things--State-of-the-Art 1
Kishor Joshi and Ruchi Mehrotra

1.1 Introduction 2

1.2 Historical Evolution of IoT to IoMT 2

1.2.1 IoT and IoMT--Market Size 4

1.3 Smart Wearable Technology 4

1.3.1 Consumer Fitness Smart Wearables 4

1.3.2 Clinical-Grade Wearables 5

1.4 Smart Pills 7

1.5 Reduction of Hospital-Acquired Infections 8

1.5.1 Navigation Apps for Hospitals 8

1.6 In-Home Segment 8

1.7 Community Segment 9

1.8 Telehealth and Remote Patient Monitoring 9

1.9 IoMT in Healthcare Logistics and Asset Management 12

1.10 IoMT Use in Monitoring During COVID-19 13

1.11 Conclusion 14

References 15

2 Issues and Challenges Related to Privacy and Security in Healthcare Using IoT, Fog, and Cloud Computing 21
Hritu Raj, Mohit Kumar, Prashant Kumar, Amritpal Singh and Om Prakash Verma

2.1 Introduction 22

2.2 Related Works 23

2.3 Architecture 25

2.3.1 Device Layer 25

2.3.2 Fog Layer 26

2.3.3 Cloud Layer 26

2.4 Issues and Challenges 26

2.5 Conclusion 29

References 30

3 Study of Thyroid Disease Using Machine Learning 33
Shanu Verma, Rashmi Popli and Harish Kumar

3.1 Introduction 34

3.2 Related Works 34

3.3 Thyroid Functioning 35

3.4 Category of Thyroid Cancer 36

3.5 Machine Learning Approach Toward the Detection of Thyroid Cancer 37

3.5.1 Decision Tree Algorithm 38

3.5.2 Support Vector Machines 39

3.5.3 Random Forest 39

3.5.4 Logistic Regression 39

3.5.5 Naïve Bayes 40

3.6 Conclusion 41

References 41

4 A Review of Various Security and Privacy Innovations for IoT Applications in Healthcare 43
Abhishek Raghuvanshi, Umesh Kumar Singh and Chirag Joshi

4.1 Introduction 44

4.1.1 Introduction to IoT 44

4.1.2 Introduction to Vulnerability, Attack, and Threat 45

4.2 IoT in Healthcare 46

4.2.1 Confidentiality 46

4.2.2 Integrity 46

4.2.3 Authorization 46

4.2.4 Availability 47

4.3 Review of Security and Privacy Innovations for IoT Applications in Healthcare, Smart Cities, and Smart Homes 48

4.4 Conclusion 54

References 54

5 Methods of Lung Segmentation Based on CT Images 59
Amit Verma and Thipendra P. Singh

5.1 Introduction 59

5.2 Semi-Automated Algorithm for Lung Segmentation 60

5.2.1 Algorithm for Tracking to Lung Edge 60

5.2.2 Outlining the Region of Interest in CT Images 62

5.2.2.1 Locating the Region of Interest 62

5.2.2.2 Seed Pixels and Searching Outline 62

5.3 Automated Method for Lung Segmentation 63

5.3.1 Knowledge-Based Automatic Model for Segmentation 63

5.3.2 Automatic Method for Segmenting the Lung CT Image 64

5.4 Advantages of Automatic Lung Segmentation Over Manual and Semi-Automatic Methods 64

5.5 Conclusion 65

References 65

6 Handling Unbalanced Data in Clinical Images 69
Amit Verma

6.1 Introduction 70

6.2 Handling Imbalance Data 71

6.2.1 Cluster-Based Under-Sampling Technique 72

6.2.2 Bootstrap Aggregation (Bagging) 75

6.3 Conclusion 76

References 76

7 IoT-Based Health Monitoring System for Speech-Impaired People Using Assistive Wearable Accelerometer 81
Ishita Banerjee and Madhumathy P.

7.1 Introduction 82

7.2 Literature Survey