TY  - BOOK
AU  - Shaikh,Tawseef Ayoub
AU  - Hakak,Saqib
AU  - Rasool,Tabasum
TI  - Machine learning and artificial intelligence in healthcare systems: tools and techniques 
SN  - 9781032208329
U1  - 610.285 63 SHA 23/eng/20230123
PY  - 2023///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Artificial intelligence
KW  - Medical applications
KW  - Machine learning
N1  - Includes bibliographical references and index
N2  - "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 which can help or 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 underline 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"--
ER  -