Natural language processing to extract follow-up provider information from hospital discharge summaries

OBJECTIVE: We evaluate the performance of a Natural Language Processing (NLP) application designed to extract follow-up provider information from free-text discharge summaries at two hospitals. EVALUATION: We compare performance by the NLP application, called the Regenstrief EXtracion tool (REX), to...

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Bibliografski detalji
Glavni autori: Were, Martin C., Gorbachev, Sergey, Cadwallader, Jason, Kesterson, Joe, Li, Xiaochun, Overhage, J. Marc, Friedlin, Jeff
Format: Artigo
Jezik:Inglês
Izdano: American Medical Informatics Association 2010
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Articles
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3041312/
https://ncbi.nlm.nih.gov/pubmed/21347103
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