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Machine learning and artificial intelligence in healthcare systems : tools and techniques First edition

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서명/저자사항Machine learning and artificial intelligence in healthcare systems: tools and techniques / edited by Tawseef Ayoub Shaikh, Saqib Hakak, Tabasum Rasool, Mohammed Wasid.
개인저자Shaikh, Tawseef Ayoub, editor.
Hakak, Saqib, editor.
Rasool, Tabasum, editor.
Wasid, Mohammed, editor.
판사항First edition.
형태사항1 online resource (356 pages) : illustrations (black and white, and colour).
총서사항Artificial intelligence in smart healthcare systems
기타형태 저록Print version: Machine learning and artificial intelligence in healthcare systems. Boca Raton : CRC Press, 2023 9781032208305
ISBN9781003265436
100326543X
9781000830965
1000830969
100083090X
9781000830903




기타표준부호10.1201/9781003265436doi
서지주기Includes bibliographical references and index.
소장본주기WorldCat record variable field(s) change: 050
요약This book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extracting user social behavior (known as sentiment analysis for healthcare-related purposes) round out the diverse array of topics this reference book covers. Contributions from experts in the field, this book is useful to healthcare professionals, researchers, and students of industrial engineering, systems engineering, biomedical, computer science, electronics, and communications engineering.
일반주제명Artificial intelligence --Medical applications.
Machine learning.
TECHNOLOGY / Operations Research
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