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E-grāmata: Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services

Edited by (King Abdulaziz University, Jeddah, Saudi Arabia), Edited by , Edited by , Edited by , Edited by
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"Artificial intelligence in combination with soft computing (the use of approximate calculations to provide imprecise but usable solutions to complex computational problems) has great potential in creating smart personalized healthcare services. AI and soft computing techniques can create the next-generation ultra-digital hospital services, such as advanced robotic surgery, 5G infrastructure networks for remote healthcare assistance and monitoring, and much more. This volume covers background related to AI and also presents diverse state-of-the-art applications in AI and soft computing to achieve intelligent personalized healthcare services. The chapters are grouped into three areas: Internet of Medical Things and Cloud Technologies in Healthcare, Artificial Intelligence and Techniques in Healthcare Services, and Telemedicine and Personalized Healthcare Services. The chapters look at a variety of AI and soft computing techniques, applications, and algorithms, such as 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. The chapters demonstrate the myriad uses of AI and computer techniques in healthcare, such as for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with the healthcare services and facilities, accurately identifying diseases and health issues, automated medical diagnosis, analyzing andrecognizing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, processing periods, patient well-being, productivity, and more. The chapters also emphasizeaspects of IoT security, privacy characteristics, various cyber-threat models and attack classification, malware identification for safeguarding healthcare data. This book has much to offer those interested in the applications of artificial intelligence in healthcare, including healthcare professionals, hospital and healthcare network administrators, policymakers, IT researchers, and others"--

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.



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.

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 Patients Physical Activity Using PSO
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.
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