2019/05/22 by Krzysztof J. Cios, Cios, Krzysztof J., Bartosz Krawczyk +5
Computer Science · Health Professions · #Anomaly Detection Techniques and Applications #Artificial Intelligence in Healthcare #Computers and Society (cs.CY) #FOS: Computer and information sciences #Machine Learning in Healthcare
paper · pdf · doi:10.48550/arxiv.1905.09203
openalex publication_date 2019/05/22 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The paper describes how the new technologies and data they generate are transforming medicine. It stresses the uniqueness of heterogeneous medical data and the ways of dealing with them. It lists different sources that generate big medical data, their security, legal and ethical issues, as well as machine learning/AI methods of dealing with them. A unique feature of the paper is use of case studies to illustrate how the new technologies influence medical practice.