Emerging Technologies for Healthcare (eBook, ePUB)

Internet of Things and Deep Learning Models
Redaktion: Mangla, Monika; Khan, Shahnawaz; K, Thirunavukkarasu; Wadhwa, Vaishali; Garg, Poonam; Sharma, Nonita

• Format: ePub

Produktbeschreibung

"Emerging Technologies for Healthcare" begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques. The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions. This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.

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Produktdetails

• Verlag: John Wiley & Sons
• Seitenzahl: 416
• Erscheinungstermin: 20. Juli 2021
• Englisch
• ISBN-13: 9781119792321
• Artikelnr.: 62584404

Autorenporträt

Monika Mangla, received her PhD from Thapar Institute of Engineering & Technology, Patiala, Punjab, in 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at Lokmanya Tilak College of Engineering (LTCoE), Navi Mumbai. Nonita Sharma is working as assistant professor, National Institute of Technology, Jalandhar. She received the B. Tech degree in Computer Science Engineering in 2002, the M. Tech degree in Computer Science engineering in 2004, and her PhD degree in Wireless Sensor Network from the National Institute of Technology, Jalandhar, India in 2017. Poonam Mittal received her PhD from J.C Bose University of Science and Technology YMCA, Faridabad, India, in 2019. Currently, she is working as an assistant professor in the Department of Computer Engineering at J.C Bose University of Science and Technology YMCA, Faridabad, India. Vaishali Mehta Wadhwa obtained her PhD in Facility Location Problems from Thapar University. Her research interests include approximation algorithms, location modeling, IoT, cloud computing and machine learning. She has multiple articles and 2 patents to her name. Thirunavakkarasu K. is a distinguished academician with over twenty-two years of experience in teaching and working in the software industry. Curently, he is heading the Department of BCA and Specialization at Galgotias University. He has done Bachelor in computer science from the University of Madras in 1994 and received 3 master's degrees in computer science. Shahnawaz Khan is an assistant professor and serving as Secretary-General of Scientific Research Council at University College of Bahrain. He holds a PhD (Computer Science) from the Indian Institute of Technology (BHU), India.

Inhaltsangabe

Preface xvii

Part I: Basics of Smart Healthcare 1

1 An Overview of IoT in Health Sectors 3
Sheeba P. S.

1.1 Introduction 3

1.2 Influence of IoT in Healthcare Systems 6

1.2.1 Health Monitoring 6

1.2.2 Smart Hospitals 7

1.2.3 Tracking Patients 7

1.2.4 Transparent Insurance Claims 8

1.2.5 Healthier Cities 8

1.2.6 Research in Health Sector 8

1.3 Popular IoT Healthcare Devices 9

1.3.1 Hearables 9

1.3.2 Moodables 9

1.3.3 Ingestible Sensors 9

1.3.4 Computer Vision 10

1.3.5 Charting in Healthcare 10

1.4 Benefits of IoT 10

1.4.1 Reduction in Cost 10

1.4.2 Quick Diagnosis and Improved Treatment 10

1.4.3 Management of Equipment and Medicines 11

1.4.4 Error Reduction 11

1.4.5 Data Assortment and Analysis 11

1.4.6 Tracking and Alerts 11

1.4.7 Remote Medical Assistance 11

1.5 Challenges of IoT 12

1.5.1 Privacy and Data Security 12

1.5.2 Multiple Devices and Protocols Integration 12

1.5.3 Huge Data and Accuracy 12

1.5.4 Underdeveloped 12

1.5.5 Updating the Software Regularly 12

1.5.6 Global Healthcare Regulations 13

1.5.7 Cost 13

1.6 Disadvantages of IoT 13

1.6.1 Privacy 13

1.6.2 Access by Unauthorized Persons 13

1.7 Applications of IoT 13

1.7.1 Monitoring of Patients Remotely 13

1.7.2 Management of Hospital Operations 14

1.7.3 Monitoring of Glucose 14

1.7.4 Sensor Connected Inhaler 15

1.7.5 Interoperability 15

1.7.6 Connected Contact Lens 15

1.7.7 Hearing Aid 16

1.7.8 Coagulation of Blood 16

1.7.9 Depression Detection 16

1.7.10 Detection of Cancer 17

1.7.11 Monitoring Parkinson Patient 17

1.7.12 Ingestible Sensors 18

1.7.13 Surgery by Robotic Devices 18

1.7.14 Hand Sanitizing 18

1.7.15 Efficient Drug Management 19

1.7.16 Smart Sole 19

1.7.17 Body Scanning 19

1.7.18 Medical Waste Management 20

1.7.19 Monitoring the Heart Rate 20

1.7.20 Robot Nurse 20

1.8 Global Smart Healthcare Market 21

1.9 Recent Trends and Discussions 22

1.10 Conclusion 23

References 23

2 IoT-Based Solutions for Smart Healthcare 25
Pankaj Jain, Sonia F Panesar, Bableen Flora Talwar and Mahesh Kumar Sah

2.1 Introduction 26

2.1.1 Process Flow of Smart Healthcare System 26

2.1.1.1 Data Source 26

2.1.1.2 Data Acquisition 27

2.1.1.3 Data Pre-Processing 27

2.1.1.4 Data Segmentation 28

2.1.1.5 Feature Extraction 28

2.1.1.6 Data Analytics 28

2.2 IoT Smart Healthcare System 29

2.2.1 System Architecture 30

2.2.1.1 Stage 1: Perception Layer 30

2.2.1.2 Stage 2: Network Layer 32

2.2.1.3 Stage 3: Data Processing Layer 32

2.2.1.4 Stage 4: Application Layer 33

2.3 Locally and Cloud-Based IoT Architecture 33

2.3.1 System Architecture 33

2.3.1.1 Body Area Network (BAN) 34

2.3.1.2 Smart Server 34

2.3.1.3 Care Unit 35

2.4 Cloud Computing 35

2.4.1 Infrastructure as a Service (IaaS) 37

2.4.2 Platform as a Service (PaaS) 37

2.4.3 Software as a Service (SaaS) 37

2.4.4 Types of Cloud Computing 37

2.4.4.1 Public Cloud 37

2.4.4.2 Private Cloud 38

2.4.4.3 Hybrid Cloud 38<