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Interpretation of machine learning predictions for patient outcomes in electronic health records
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we report an empirical study of predictive modeling of seven patient outcomes using three state-of-the-art machine learning m...
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| Publicado no: | AMIA Annu Symp Proc |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7153071/ https://ncbi.nlm.nih.gov/pubmed/32308851 |
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