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N-gram support vector machines for scalable procedure and diagnosis classification, with applications to clinical free text data from the intensive care unit
BACKGROUND: Existing risk adjustment models for intensive care unit (ICU) outcomes rely on manual abstraction of patient-level predictors from medical charts. Developing an automated method for abstracting these data from free text might reduce cost and data collection times. OBJECTIVE: To develop a...
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| Auteurs principaux: | , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BMJ Publishing Group
2014
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4147615/ https://ncbi.nlm.nih.gov/pubmed/24786209 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2014-002694 |
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