Practical Artificial Intelligence for Internet of Medical Things (e-bog) af -
Almalki, Faris A. (redaktør)

Practical Artificial Intelligence for Internet of Medical Things e-bog

436,85 DKK (inkl. moms 546,06 DKK)
This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data...
E-bog 436,85 DKK
Forfattere Almalki, Faris A. (redaktør)
Forlag CRC Press
Udgivet 28 februar 2023
Længde 324 sider
Genrer Medical and health informatics
Sprog English
Format epub
Beskyttelse LCP
ISBN 9781000831399
This book covers the fundamentals, applications, algorithms, protocols, emerging trends, problems, and research findings in the field of AI and IoT in smart healthcare. It includes case studies, implementation and management of smart healthcare systems using AI. Chapters focus on AI applications in Internet of Healthcare Things, provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and AI, with the real-world examples. This book is aimed at Researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.Features:Focus on the Internet of Healthcare Things and innovative solutions developed for use in the application of healthcare servicesDiscusses artificial intelligence applications, experiments, core concepts, and cutting-edge themesDemonstrates new approaches to analyzing medical data and identifying ailments using AI to improve overall quality of lifeIntroduces fundamental concepts for designing the Internet of Healthcare Things solutionsIncludes pertinent case studies and applicationsThis book is aimed at researchers and graduate students in Computer Engineering, Artificial Intelligence and Machine Learning, Biomedical Engineering, and Bioinformatics.