人工智能和机器学习在 healthcare 和医学科学中的应用:最佳实践与陷阱
This open access book provides a detailed review of the latest methods and applications of artificial intelligence (AI) and machine learning (ML) in medicine. With chapters focusing on enabling the reader to develop a thorough understanding of the key concepts in these subject areas along with a range of methods and resulting models that can be utilized to solve healthcare problems, the use of causal and predictive models are comprehensively discussed. Care is taken to systematically describe the concepts to facilitate the reader in developing a thorough conceptual understanding of how different methods and resulting models function and how these relate to their applicability to various issues in health care and medical sciences. Guidance is also given on how to avoid pitfalls that can be encountered on a day-to-day basis and stratify potential clinical risks.
这本书提供了关于人工智能(AI)和机器学习(ML)在医学领域最新方法与应用的详细回顾。章节专注于帮助读者深入了解这些领域的关键概念,并涵盖多种方法及其产生的模型,以解决医疗健康问题。书中全面讨论了因果预测模型的应用。同时,为了便于读者理解不同方法及所产生模型的工作原理及其如何适用于健康护理和医学科学中的各种问题,本书详尽地描述了相关概念。此外,也提供了避免日常工作中可能出现的陷阱以及对潜在临床风险进行分层的方法指导。
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