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Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports.
Identification of eligible patients from electronically available patient data is a key difficulty in computerizing clinical practice guidelines because a large amount of the relevant data is stored as free text. We have been using MedLEE (Medical Language Extraction and Encoding System), a natural...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Language: | Inglês |
| Published: |
American Medical Informatics Association
1996
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| Subjects: | |
| Online Access: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2233236/ https://ncbi.nlm.nih.gov/pubmed/8947725 |
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