Automated Extraction of Substance Use Information from Clinical Texts

Within clinical discourse, social history (SH) includes important information about substance use (alcohol, drug, and nicotine use) as key risk factors for disease, disability, and mortality. In this study, we developed and evaluated a natural language processing (NLP) system for automated detection...

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Publicat a:AMIA Annu Symp Proc
Autors principals: Wang, Yan, Chen, Elizabeth S., Pakhomov, Serguei, Arsoniadis, Elliot, Carter, Elizabeth W., Lindemann, Elizabeth, Sarkar, Indra Neil, Melton, Genevieve B.
Format: Artigo
Idioma:Inglês
Publicat: American Medical Informatics Association 2015
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Articles
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765598/
https://ncbi.nlm.nih.gov/pubmed/26958312
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