1st Edition

Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

    492 Pages 30 Color & 163 B/W Illustrations
    by Apple Academic Press

    492 Pages 30 Color & 163 B/W Illustrations
    by Apple Academic Press

    This volume demonstrates the diverse state-of-the-art applications that combine artificial intelligence with soft computing, which has great potential for creating smart personalized healthcare services. The book showcases the myriad uses of AI and computer techniques in healthcare that employ deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and many more. These technologies can be used in healthcare for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automated medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, and more.


    1. Artificial Intelligence-Enabled IoMT for Medical Applications

    Lochan Jolly, Niket Amoda, and B. K. Mishra

    2. Advancement in Healthcare by Cloud and Edge Computing

    Sunil Gautam, Mrudul Bhatt, and Kaushal Singh

    3. Disease Identification and Diagnosis Using Artificial Intelligence

    Shaik Rasool, Uma N. Dulhare, and A. V. Senthil Kumar

    4. An Approach for Accessing Patients Records Using Medical Suite Blockchain

    Shyam Mohan J S and N. Kumaran

    5. Security Issues and Intelligent Solutions for IoMT-Enabled Healthcare Systems

    B. Sateesh Kumar and Mohammad Sirajuddin


    6. An AI-Driven Multi-Management System for Medical Resource Allocation Providing Personalized Healthcare Services

    S. Geetha and Tvisha Trivedi

    7. Prediction of Autistic Spectral Disorder Inflictions among Children Using Reinforcement-Based Learning Approaches

    Kiran L. N. Eranki

    8. Reinforcement Learning for Automated Medical Diagnosis and Dynamic Clinical Regimes

    Pawan Whig, Arun Velu, Rahul Reddy Nadikattu, and Pavika Sharma

    9. Surgical Phase Recognition Using Videos: A Deep Neural Network Approach

    Vishakha Bansod and Asha Ambhaikar

    10. Wearable Sensor-Based Monitoring and Classification Using Deep Learning for Personalized Healthcare

    Murugan Subramanian, S. Kanagasuba Raja, A. Sampath Kumar, Manikandan Ramachandran, and Ambeshwar Kumar

    11. Personalized Physio-Care System Using AI

    Aruna Deoskar, Shilpa Parab, and Shubhangi Patil

    12. An Approach for the Implementation of Multilevel Technique of GA for Cardiac Disease Detection

    Neeraj Bhargava, Ritu Bhargava, Kapil Chauhan, Pramod Singh Rathore, and Vishal Dutt


    13. A Tele-Healthcare System for Diagnosis and Treatment of Patients During a Pandemic

    Disha M. Dhabarde, Monika P. Maske, Jagdish R. Baheti, and Hitesh V. Shahare

    14. Personalized Telemedicine Utilizing Artificial Intelligence, Robotics, and the Internet of Medical Things (IoMT)

    Kiran Sharma

    15. Cyber-Physical System-Based Secure Online Medication System

    Kundankumar Rameshwar Saraf, and P. Malathi

    16. Durbhashan: A Healthcare Guiding Booth for Rural People

    G. Sunil, Srinivas Aluvala, Areefa, S. Praveen Kumar, K. Pragathi, and K. Rishitha

    17. Internet Pharmacy Branch in Poland and Its Logistics Support Management

    Marta Kadlubek

    18. Effective Emergency Transportation and Communication for Saving Human Lives During Disasters

    Walunjkar Gajanan Madhavrao and V. Srinivasa Rao

    19. Resource Allocation and Scheduling of Patient’s Physical Activity Using PSO

    Fahmina Taranum, K. Sridevi, and Maniza Hijab


    Uma N. Dulhare, PhD, is Professor and Head of the Computer Science and Artificial Intelligence Department at Muffakham Jah College of Engineering and Technology, India. She has over 20 years of teaching experience. She has published research papers in national and international journals as well as book chapters and books.

    A. V. Senthil Kumar, PhD, is Director and Professor in the Department of Research and PG in Computer Applications, Hindustan College of Arts and Science, India. He has published book chapters, many international journals and conference papers, and several edited books. He is Editor-in-Chief of the International Journal of Data Mining and Emerging Technologies and has been affiliated with other prominent journals as well.

    Amit Dutta, PhD, is Deputy Director at the All India Council for Technical Education, New Delhi, India. He has more than 20 years of teaching, research, and administration experience. He has published four books on C++, data mining techniques, neural networks and over 20 research papers in international and national journals.

    Seddik Bri, PhD, is Professor in the Electrical Engineering Department at Moulay Ismail University, Morocco. He has published many journal papers, conferences papers, books, and book chapters. A referee for several journals, Dr. Bri has worked on integrated action projects and is a member of the scientific committees of about 60 international conferences.

    Ibrahiem M. M. El Emary, PhD, is Professor of Computer Science and Engineering at King Abdulaziz University, Saudi Arabia. His former positions include assistant professor in Egypt and visiting professor at two universities in Jordan. He has published over 150 articles in international journals and conferences and has also published book chapters and edited books.