Machine Learning in Health Care: A Critical Appraisal of Challenges and Opportunities

Examples of fully integrated machine learning models that drive clinical care are rare. Despite major advances in the development of methodologies that outperform clinical experts and growing prominence of machine learning in mainstream medical literature, major challenges remain. At Duke Health, we...

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Detalles Bibliográficos
Autores principales: Sendak, Mark, Gao, Michael, Nichols, Marshall, Lin, Anthony, Balu, Suresh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ubiquity Press 2019
Materias:
Commentary/Editorial
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354017/
https://www.ncbi.nlm.nih.gov/pubmed/30705919
http://dx.doi.org/10.5334/egems.287

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6354017/
https://www.ncbi.nlm.nih.gov/pubmed/30705919
http://dx.doi.org/10.5334/egems.287

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