Next Generation eHealth

Applied Data Science, Machine Learning and Extreme Computational Intelligence

Miltiadis Lytras, Abdulrahman Housawi, Basim Alsaywid, Naif Radi Aljohani (Herausgeber)

Buch | Softcover

338 Seiten

2024
Academic Press Inc (Verlag)
978-0-443-13619-1 (ISBN)

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Next Generation eHealth: Applied Data Science, Machine Learning and Extreme Computational Intelligence discusses the emergence, the impact, and the potential of sophisticated computational capabilities in healthcare. This book provides useful therapeutic targets to improve diagnosis, therapies, and prognosis of diseases, as well as helping with the establishment of better and more efficient next-generation medicine and medical systems. Machine learning as a field greatly contributes to next-generation medical research with the goal of improving medicine practices and medical Systems. As a contributing factor to better health outcomes, this book highlights the need for advanced training of professionals from various health areas, clinicians, educators, and social professionals who deal with patients. Content illustrates current issues and future promises as they pertain to all stakeholders, including informaticians, professionals in diagnostics, key industry experts in biotech, pharma, administrators, clinicians, patients, educators, students, health professionals, social scientists and legislators, health providers, advocacy groups, and more. With a focus on machine learning, deep learning, and neural networks, this volume communicates in an integrated, fresh, and novel way the impact of data science and computational intelligence to diverse audiences.

Miltiadis D. Lytras is an expert in advanced computer science and management, editor, lecturer, and research consultant, with extensive experience in academia and the business sector in Europe and Asia. Dr. Lytras is a Research Professor at Deree CollegedThe American College of Greece and a Distinguished Scientist at the King Abdulaziz Univer sity, Jeddah, Kingdom of Saudi Arabia. Dr. Lytras is a world-class expert in the fields of cognitive computing, information systems, technology-enabled innovation, social networks, computers in human behavior, and knowledge management. In his work, Dr. Lytras seeks to bring together and exploit synergies among scholars and experts committed to enhancing the quality of education for all. He has coedited more than 110 high-impact fac tor special issues in ISI/Scopus-indexed journals and coedited/authored more than 80 books with international publishers including Elsevier, Emerald, IGI-Global, Springer, etc. Dr. Lytras has coauthored more than 120 high-impact factor papers in Q1 and Q2, Web of Sci ence, and Scopus-indexed journals such as IEEE Transactions on Knowledge and Data En gineering; IEEE Internet Computing; IEEE Transactions on Education; IEEE Access; Future Generation Computer Systems; the Journal of Business Research; the International Journal of Information Management; the Journal of Innovation and Knowledge; Technological Forecasting and Social Change; the Journal of Ambient Intelligence and Humanized Computing; World Wide Web Journal; Computers in Human Behavior; Studies in Higher Education; Telematics and Informatics; Information Systems Management; the International Journal of Engineering Education; the Journal of Universal Computer Science; the Journal of Knowledge Management; the British Journal of Educational Technology; Interactive Learning Environment; Educational Technology & Society; Behavior & Information Technology, etc. Dr. Lytras has 25 years of experience on Research and Development projects and grants with significant skills and competencies to the successful conceptualization, financing, and implementation of R&D projects with extensive experience in Europe, the Middle East, and the Far East. He has involved in more than 70 R&D projects overtime. Dr. Lytras has held various senior editorial positions in prestigious journals over time including Editor in Chief and Associate Editor positions. He has also the privilege to guest edit more than 130 special issues in high-impact factor journals. He is the Founding Editor and Editor in Chief of the International Journal on Semantic Web and Information Systems (High-Impact Factor, WoS indexed). Additional editorial positions (selected): Founding Editor in Chief, International Journal on Technology Enhanced Learning (IJTEL) Founding Editor in Chief International Journal of Knowledge and Learning (IJKL) Founding Editor in Chief of International Journal of Knowledge Society Research (IJKSR). Dr. Lytras has coedited more than 100 peer-reviewed volumes/books in topics related to his expertise. Indicative titles include the following: Digital Transformation in Healthcare in Post COVID-19 Times, Smart Cities and Digital Transformation: Empowering Communities, Limitless Innovation, Sustainable Development and the Next Generation, Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats, and Smart Villages in the EU and Beyond. Dr. Abdulrahman Housawi is a Nephrologist and Specialist in multiorgan transplant surgery and Chairman of the Multi-organ Transplant Research Committee at King Fahad Specialist Hospital, Dammam, KSA. He received his medical degree from the King Abdulaziz University in Jeddah, Saudi Arabia, his Master of Science degree with a focus on epidemiology and biosta?tistics from the University of Western Ontario, London, Canada, and a Master of Science in Health Administration from the University of Alabama, Birmingham. His research interests include the epidemiology of chronic kidney disease, developing research registries for CKD and solid organ transplants, the outcomes of living kidney donation and the long-term outcomes of kidney transplantation. From the PH-LEADER workshops, he hopes to further his knowledge of transplants and outside aspects of surgery and its effects on the donors and their families. Currently, he is responsible for the development and implementation of the Saudi Commission’s strategy, including its transformation to a data-driven organization (2016epresent). Basim Alsaywid, Pediatric Urology Surgeon, graduated from King Abdulaziz University then completed Saudi Board of Urology in 2007. He obtained his Pediatric Urology Training Certificate from a fellowship at Westmead Children Hospital and then Sydney Children Hospital at Randwick, Sydney, Australia. During his fellowship training, he completed his Master of Medicine degree from the University of Sydney in Clinical Epide?miology with focus on biostatistics, and then he completed his Master’s in Health Profes?sion Education from King Saud Bin Abdulaziz University for Health Sciences, Saudi Arabia. Dr. Alsaywid founded the research offices at the College of Medicine and College of Applied Health Sciences at King Saud Bin Abdulaziz University for Health Sciences in Jeddah. Also, he founded and chaired the Research and Development Department at Saudi Commission for Health Specialties in Riyadh. Currently, Dr. Alsaywid is the Director of Education and Research Skills at Saudi National Institute of Health, Riyadh, Saudi Arabia. Dr. Naif Aljohani is a Professor at the Faculty of Computing and Information Technology (FCIT) in King Abdul Aziz University, Jeddah, Saudi Arabia. He holds a PhD in Computer Science from the University of Southampton, UK. In 2009, he received his master’s degree in Computer Networks from La Trobe University, Australia. His research interests are in the areas of learning and knowledge analytic, semantic web, web science, and big data analytics.

1. The challenges for the next generation digital health: The disruptive character of Artificial Intelligence
2. Data governance in healthcare organizations
3. Enhancing patient welfare through responsible and AI-driven healthcare innovation: Progress made in OECD countries and the case of Greece
4. The economic feasibility of digital health and telerehabilitation
5. Intelligent digital twins: Scenarios, promises, and challenges in medicine and public health
6. Digital twin in cardiology: Navigating the digital landscape for education, global health, and preventive medicine
7. Review of data-driven generative AI models for knowledge extraction from scientific literature in healthcare
8. Approximate computing for energy-efficient processing of biosignals in ehealth care systems
9. Linked open research information on semantic web: Challenges and opportunities for Research information management (RIM) User’s
10. The need of E-health and literacy of cancer patients for Healthcare providers
Ruchika Kalra, Meena Gupta and Priya Sharma
11. eHealth concern over fine particulate matter air pollution and brain tumors
12. Wearable devices developed to support dementia detection, monitoring, and intervention
13. How artificial intelligence affects the future of pharmacy practice?
14. Designing robust and resilient data strategy in health clusters (HCs): Use case identification for efficiency and performance enhancement
15. Digital health as a bold contribution to sustainable and social inclusive development

Erscheinungsdatum	05.10.2024
Reihe/Serie	Next Generation Technology Driven Personalized Medicine And Smart Healthcare
Verlagsort	San Diego
Sprache	englisch
Maße	191 x 235 mm
Gewicht	450 g
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Bioinformatik
	Medizin / Pharmazie
	Naturwissenschaften ► Biologie
ISBN-10	0-443-13619-X / 044313619X
ISBN-13	978-0-443-13619-1 / 9780443136191
Zustand	Neuware