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books
| book details |
Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques
Edited by Tawseef Ayoub Shaikh, Edited by Saqib Hakak, Edited by Tabasum Rasool, Edited by Mohammed Wasid
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| on special |
normal price: R 3 745.95
Price: R 3 558.95
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| book description |
This 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.
| product details |
Normally shipped |
Publisher | Taylor & Francis Ltd
Published date | 30 Dec 2024
Language |
Format | Paperback / softback
Pages | 356
Dimensions | 234 x 156 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-1-0325-4921-7
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