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

ISBN-13: 9781774913383 / Twarda / 2024 / 466 str.

Opis

Presents new applications, techniques, and algorithms in AI and soft computing for intelligent, such as deep learning, robotics, machine learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms, and more.

Spis treści

PART I: INTERNET OF MEDICAL THINGS AND CLOUD TECHNOLOGIES IN HEALTHCARE 1. Artificial Intelligence-Enabled IoMT for Medical Applications 2. Advancement in Healthcare by Cloud and Edge Computing 3. Disease Identification and Diagnosis Using Artificial Intelligence 4. An Approach for Accessing Patients Records Using Medical Suite Blockchain 5. Security Issues and Intelligent Solutions for IoMT-Enabled Healthcare Systems PART II: ARTIFICIAL INTELLIGENCE AND TECHNIQUES IN HEALTHCARE SERVICES 6. An AI-Driven Multi-Management System for Medical Resource Allocation Providing Personalized Healthcare Services 7. Prediction of Autistic Spectral Disorder Inflictions among Children Using Reinforcement-Based Learning Approaches 8. Reinforcement Learning for Automated Medical Diagnosis and Dynamic Clinical Regimes 9. Surgical Phase Recognition Using Videos: A Deep Neural Network Approach 10. Wearable Sensor-Based Monitoring and Classification Using Deep Learning for Personalized Healthcare 11. Personalized Physio-Care System Using AI 12. An Approach for the Implementation of Multilevel Technique of GA for Cardiac Disease Detection PART III: TELEMEDICINE AND PERSONALIZED HEALTHCARE SERVICES 13. A Tele-Healthcare System for Diagnosis and Treatment of Patients During a Pandemic 14. Personalized Telemedicine Utilizing Artificial Intelligence, Robotics, and the Internet of Medical Things (IoMT) 15. Cyber-Physical System-Based Secure Online Medication System 16. Durbhashan: A Healthcare Guiding Booth for Rural People 17. Internet Pharmacy Branch in Poland and Its Logistics Support Management 18. Effective Emergency Transportation and Communication for Saving Human Lives During Disasters 19. Resource Allocation and Scheduling of Patient’s Physical Activity Using PSO

O autorze

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.