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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...

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Detalles Bibliográficos
Autores principales: Diao, James A., Wedlund, Leia, Kvedar, Joseph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
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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