Ten quick tips for ensuring machine learning model validity.
Where this comes from
- Record sourced from PubMed, PMID 39298376.
- Also identified by DOI 10.1371/journal.pcbi.1012402 and PMC identifier 11412509.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
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.
Medical subject headings
- Machine Learning
- Computational Biology