| ISBN13: | 9781032549217 |
| ISBN10: | 1032549211 |
| Binding: | Paperback |
| No. of pages: | 356 pages |
| Size: | 234x156 mm |
| Language: | English |
| Illustrations: | 28 Illustrations, black & white; 127 Illustrations, color; 9 Halftones, black & white; 114 Halftones, color; 15 Line drawings, black & white; 17 Line drawings, color |
| 700 |
Engineering in general
Electrical engineering and telecommunications, precision engineering
Energy industry
System organization
Computer architecture, logic design
Computer programming in general
Database management softwares
Artificial Intelligence
Environmental health, occupational health
Environmental sciences
Product design
Engineering in general (charity campaign)
Electrical engineering and telecommunications, precision engineering (charity campaign)
Energy industry (charity campaign)
System organization (charity campaign)
Computer architecture, logic design (charity campaign)
Computer programming in general (charity campaign)
Database management softwares (charity campaign)
Artificial Intelligence (charity campaign)
Environmental health, occupational health (charity campaign)
Environmental sciences (charity campaign)
Product design (charity campaign)
Machine Learning and Artificial Intelligence in Healthcare Systems
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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.
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.