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Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls
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- More about Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls
This open-access book provides a comprehensive review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine, with a focus on developing a thorough understanding of key concepts and avoiding pitfalls. It is an indispensable guide for medical informatics professionals and physicians, as well as health data scientists, administrators, and students in the health sciences.
Format: Paperback / softback
Length: 810 pages
Publication date: 05 March 2024
Publisher: Springer International Publishing AG
This open-access book offers a comprehensive review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. It aims to equip readers with a thorough understanding of key concepts in these fields, along with a range of methods and resulting models that can be utilized to solve healthcare problems. The book comprehensively discusses the use of causal and predictive models, emphasizing their systematic description to facilitate the reader's conceptual understanding of how different methods and resulting models function and their relevance to various issues in health care and medical sciences. Guidance is provided on how to avoid common pitfalls encountered in daily practice, as well as how to stratify potential clinical risks.
Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls is a valuable resource for medical informatics professionals and physicians who rely on AI and ML methodologies in their daily practice. It provides a comprehensive guide to the best practices and pitfalls of these techniques, making it an indispensable guide for all those seeking to utilize them effectively. Furthermore, the book will be of significant interest to health data scientists, administrators, and students in the health sciences who are looking for an up-to-date resource on this topic.
Dimension: 235 x 155 (mm)
ISBN-13: 9783031393570
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