Biomedical Data Manifest: A lightweight data documentation mapping to increase transparency for AI/ML
Abstract Biomedical machine learning (ML) models raise critical concerns about embedded assumptions influencing clinical decision-making, necessitating robust documentation frameworks for datasets that are shared via external repositories. Fairness-aware algorithm effectiveness hinges on users’ prio...
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| Asıl Yazarlar: | , , , , , , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2026-02-01
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| Seri Bilgileri: | Scientific Data |
| Online Erişim: | https://doi.org/10.1038/s41597-026-06670-0 |
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