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Risk Stratification of ICU Patients Using Topic Models Inferred from Unstructured Progress Notes
We propose a novel approach for ICU patient risk stratification by combining the learned “topic” structure of clinical concepts (represented by UMLS codes) extracted from the unstructured nursing notes with physiologic data (from SAPS-I) for hospital mortality prediction. We used Hierarchical Dirich...
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| Hoofdauteurs: | , , , , |
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| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
American Medical Informatics Association
2012
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3540429/ https://ncbi.nlm.nih.gov/pubmed/23304322 |
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