Ten quick tips for ensuring machine learning model validity.

Autor: Goh WWB; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.; School of Biological Sciences, Nanyang Technological University, Singapore, Singapore.; Center for Biomedical Informatics, Nanyang Technological University, Singapore, Singapore.; Center of AI in Medicine, Nanyang Technological University, Singapore, Singapore.; Division of Neurology, Department of Brain Sciences, Faculty of Medicine, Imperial College London, London, United Kingdom., Kabir MN; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.; Center for Biomedical Informatics, Nanyang Technological University, Singapore, Singapore., Yoo S; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore.; Center for Biomedical Informatics, Nanyang Technological University, Singapore, Singapore., Wong L; School of Computing, National University of Singapore, Singapore, Singapore.; Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Jazyk: angličtina
Zdroj: PLoS computational biology [PLoS Comput Biol] 2024 Sep 19; Vol. 20 (9), pp. e1012402. Date of Electronic Publication: 2024 Sep 19 (Print Publication: 2024).
DOI: 10.1371/journal.pcbi.1012402
Abstrakt: Artificial Intelligence (AI) and Machine Learning (ML) models are increasingly deployed on biomedical and health data to shed insights on biological mechanism, predict disease outcomes, and support clinical decision-making. However, ensuring model validity is challenging. The 10 quick tips described here discuss useful practices on how to check AI/ML models from 2 perspectives-the user and the developer.
Competing Interests: The authors have declared that no competing interests exist.
(Copyright: © 2024 Goh et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
Databáze: MEDLINE
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