Artificial intelligence and machine learning in health care and medical sciences : Best practices and pitfalls
- Author
- Gyorgy J. Simon & Constantin Aliferis
- Publication Year
- 2024
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
- Download Book Read 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.
Keywords: Artificial intelligence / Machine learning / Computer science / Genomics / Medicine / Predictive analytics / Medicine / Causal discovery / Causal inference / Medical knowledge discovery / Clinical risk models / Clinical risk stratification
