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Patient-Specific Explanations for Predictions of Clinical Outcomes
BACKGROUND: Machine learning models that are used for predicting clinical outcomes can be made more useful by augmenting predictions with simple and reliable patient-specific explanations for each prediction. OBJECTIVES: This article evaluates the quality of explanations of predictions using physici...
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| Publicado no: | ACI open |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8174671/ https://ncbi.nlm.nih.gov/pubmed/34095753 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0039-1697907 |
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