1. Ten quick tips for ensuring machine learning model validity.
- Author
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Goh WWB, Kabir MN, Yoo S, and Wong L
- Subjects
- Humans, Artificial Intelligence, Reproducibility of Results, Algorithms, Machine Learning, Computational Biology methods
- Abstract
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.)
- Published
- 2024
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