Advanced Healthcare Systems: Empowering Physicians with IoT-Enabled Technologies (Artificial Intelligence and Soft Computing for Industrial Transformation) - Hardcover

Hardcover

ISBN 10: 1119768861 ISBN 13: 9781119768869

Publisher: Wiley-Scrivener, 2022

Synopsis

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.

About this title

About the Author

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.

From the Back Cover

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.

Edition details

• Publisher: Wiley-Scrivener
• Publication date: 2022
• Language: English
• ISBN 10: 1119768861
• ISBN 13: 9781119768869
• Binding: Hardcover
• Edition number: 1
• Number of pages: 384
• Editor: Tanwar Rohit, Balamurugan S., Saini Rakesh Kumar, Bharti Vishal, Chithaluru Premkumar