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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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| Pubblicato in: | EGEMS (Wash DC) |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Ubiquity Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6354017/ https://ncbi.nlm.nih.gov/pubmed/30705919 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5334/egems.287 |
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