Master the latest advancements in Artificial Intelligence (AI) and Machine Learning (ML) for health care and medical sciences with this comprehensive guide. Written by experts Gyorgy J. Simon and Constantin Aliferis, this book provides a detailed review of cutting-edge methods and practical applications, focusing on best practices and potential pitfalls.Develop a thorough understanding of key concepts, methods, and models to effectively solve healthcare challenges. Learn how to avoid common pitfalls encountered in daily practice and stratify clinical risks. This indispensable resource is ideal for medical informatics professionals, physicians, health data scientists, administrators, and students seeking up-to-date knowledge on AI and ML in healthcare. Key Features: - In-depth review of AI and ML methods in medicine - Focus on practical applications and best practices - Guidance on avoiding common pitfalls and managing clinical risks - Comprehensive conceptual understanding of methods and models Product Summary: This open access book, "Artificial Intelligence and Machine Learning in Health Care and Medical Sciences: Best Practices and Pitfalls," is a hardcover edition written in English by Gyorgy J. Simon and Constantin Aliferis. It features 810 pages and is the first edition, published by Springer Cham on 05/03/2024. ISBN: 9783031393549.