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Beyond performance metrics: modeling outcomes and cost for clinical machine learning
Advances in medical machine learning are expected to help personalize care, improve outcomes, and reduce wasteful spending. In quantifying potential benefits, it is important to account for constraints arising from clinical workflows. Practice variation is known to influence the accuracy and general...
Autores principales: | Diao, James A., Wedlund, Leia, Kvedar, Joseph |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355228/ https://www.ncbi.nlm.nih.gov/pubmed/34376781 http://dx.doi.org/10.1038/s41746-021-00495-4 |
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