Artificial Intelligence, Blockchain and IoT for Smart Healthcare
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The concepts of telemedicine and e-healthcare have eased as well as improved the reachability of experienced doctors and medical staff to remote patients. A patient who is living in a remote village area can directly connect to specialist doctors across the globe though his/her mobile phone using telemedicine systems and e-healthcare services.
In pandemic situations like COVID-19, these online platforms helped society to get medical treatment from their residence without any physical movement. Technology is transforming human lives by playing an important role in the planning, designing, and development of intelligent systems for better service.
This book presents a cross-disciplinary perspective on the concept of machine learning, blockchain and IoT by congregating cutting-edge research and insights. It also identifies and discusses various advanced technologies such as internet of things (IoT), big data analytics, machine learning, artificial intelligence, cyber security, cloud computing, sensors and so on that are vital to foster the development of smart healthcare and telemedicine systems by providing effective solutions to the medical challenges faced by humankind.
Table of Contents
1. Introduction to Smart Healthcare and Telemedicine Systems
2. Advanced Technologies Involved in Smart Healthcare and Telemedicine Systems
3. Role of Artificial Intelligence, IoT and Blockchain in Smart Healthcare
4. Application of Artificial Intelligence in Smart Healthcare
5. Application of IoT in Smart Healthcare
6. Application of Blockchain in Smart Healthcare
7. Security and Privacy challenge in Smart Healthcare and Telemedicine systems
8. Electronic Healthcare Record (EHR) Storage using Blockchain for Smart Healthcare
9. Methodologies for Improving the Quality of Service and Safety of Smart Healthcare
10. Cloud Commuting Platform for Smart Healthcare and Telemedicine
11. Smart Healthcare and Telemedicine Systems: Present and Future Applications
Dr Hitesh Kumar Sharma works as an Associate Professor at the School of Computer Science, University of Petroleum and Energy Studies, Dehradun, Uttarakhand, India. He did his PhD in Database Performance Tuning in 2016. He completed his MTech in 2009. Currently, he is working in machine learning, deep learning, image processing and IoT with blockchain. He has authored more than 60 research articles for journals and conferences of national and international repute. Dr Sharma has authored three books and numerous book chapters with various international publishers. He is an active guest editor/reviewer of various international journals. He has delivered various keynote/guest speech in India and abroad. He has obtained many certifications in DevOps in the last two years. He has also published 03 Patents in his academic career in last few years.
Dr Anuj Kumar is an Associate Professor of Mathematics at the University of Petroleum and Energy Studies (UPES), Dehradun, India. Before joining UPES, he worked as an Assistant Professor (Mathematics) at the ICFAI University, Dehradun, India. He obtained his Master’s and doctorate degrees in Mathematics from G. B. Pant University of Agriculture and Technology, Pantnagar, India. His area of interest is reliability analysis and optimization. He has published many research articles in journals of national and international repute. He is an Associate Editor of the International Journal of Mathematical, Engineering and Management Sciences. He is also a regular reviewer of various reputed journals of Elsevier, IEEE, Springer, Taylor & Francis and Emerald.
Dr Sangeeta Pant received her doctorate from G. B. Pant University of Agriculture and Technology, Pantnagar, India. Presently, she is working within the department of Mathematics of the University of Petroleum and Energy Studies, Dehradun as an Assistant Professor. She has published around 23 research articles in journals of national and international repute in her area of interest and has been instrumental in various other research related activities like editing and reviewing for various reputed journals, and organizing and participating in conferences. Her areas of interest are numerical optimization, evolutionary algorithms, and nature inspired algorithms.
Dr Mangey Ram received his PhD degree major in Mathematics and minor in Computer Science from G. B. Pant University of Agriculture and Technology, Pantnagar, India. He has been a Faculty Member for around thirteen years and has taught several core courses in pure and applied mathematics at undergraduate, postgraduate, and doctorate levels. He is currently a Research Professor at Graphic Era (Deemed to be University), Dehradun, India and Visiting Professor at Peter the Great St Petersburg Polytechnic University, Saint Petersburg, Russia. Before joining Graphic Era, he was a Deputy Manager (Probationary Officer) with Syndicate Bank for a short period. He is Editor-in-Chief of International Journal of Mathematical, Engineering and Management Sciences; Journal of Reliability and Statistical Studies; Journal of Graphic Era University; series editor of six book series with Elsevier, CRC Press, Walter De Gruyter Publisher Germany, River Publishers and the guest editor & associate editor with various journals. He has published 250 plus research publications (journal articles/books/book chapters/conference articles) in IEEE, Taylor & Francis, Springer Nature, Elsevier, Emerald, World Scientific and many other national and international journals and conferences. He has also published more than 50 books (authored/edited) with international publishers like Elsevier, Springer Nature, CRC Press, Walter De Gruyter Publisher Germany, River Publishers. His fields of research are reliability theory and applied mathematics. Dr Ram is a Senior Member of the IEEE, Senior Life Member of Operational Research Society of India, Society for Reliability Engineering, Quality and Operations Management in India, Indian Society of Industrial and Applied Mathematics, He has been a member of the organizing committee of a number of international and national conferences, seminars, and workshops. He was conferred with the "Young Scientist Award" by the Uttarakhand State Council for Science and Technology, Dehradun in 2009. He was awarded the "Best Faculty Award" in 2011; "Research Excellence Award" in 2015; and recently "Outstanding Researcher Award" in 2018 for his significant contribution in academics and research at Graphic Era (Deemed to be University), Dehradun, India.