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: Jain, N. L., Knirsch, C. A., Friedman, C., Hripcsak, G.
Format: Artigo
Jezik:Inglês
Izdano: American Medical Informatics Association 1996
Teme:
Research Article
Online dostop:https://ncbi.nlm.nih.gov/pmc/articles/PMC2233236/
https://ncbi.nlm.nih.gov/pubmed/8947725
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