Open-Source Clinical Machine Learning Models: Critical Appraisal of Feasibility, Advantages, and Challenges

Machine learning applications promise to augment clinical capabilities and at least 64 models have already been approved by the US Food and Drug Administration. These tools are developed, shared, and used in an environment in which regulations and market forces remain immature. An important consider...

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Detalles Bibliográficos
Autores principales: Harish, Keerthi B, Price, W Nicholson, Aphinyanaphongs, Yindalon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Viewpoint
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039816/
https://www.ncbi.nlm.nih.gov/pubmed/35404258
http://dx.doi.org/10.2196/33970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9039816/
https://www.ncbi.nlm.nih.gov/pubmed/35404258
http://dx.doi.org/10.2196/33970

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