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Automated model versus treating physician for predicting survival time of patients with metastatic cancer
OBJECTIVE: Being able to predict a patient’s life expectancy can help doctors and patients prioritize treatments and supportive care. For predicting life expectancy, physicians have been shown to outperform traditional models that use only a few predictor variables. It is possible that a machine lea...
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| Publicado no: | J Am Med Inform Assoc |
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| Main Authors: | , , , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8200275/ https://ncbi.nlm.nih.gov/pubmed/33313792 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamia/ocaa290 |
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