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Supervised Extraction of Diagnosis Codes from EMRs: Role of Feature Selection, Data Selection, and Probabilistic Thresholding
Extracting diagnosis codes from medical records is a complex task carried out by trained coders by reading all the documents associated with a patient’s visit. With the popularity of electronic medical records (EMRs), computational approaches to code extraction have been proposed in the recent years...
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| Veröffentlicht in: | Proc (IEEE Int Conf Healthc Inform) |
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| Hauptverfasser: | , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2013
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5524216/ https://ncbi.nlm.nih.gov/pubmed/28748228 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICHI.2013.15 |
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