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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Bibliografiske detaljer
Udgivet i:AMIA Annu Symp Proc
Main Authors: Wang, Yan, Chen, Elizabeth S., Pakhomov, Serguei, Arsoniadis, Elliot, Carter, Elizabeth W., Lindemann, Elizabeth, Sarkar, Indra Neil, Melton, Genevieve B.
Format: Artigo
Sprog:Inglês
Udgivet: American Medical Informatics Association 2015
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Articles
Online adgang:https://ncbi.nlm.nih.gov/pmc/articles/PMC4765598/
https://ncbi.nlm.nih.gov/pubmed/26958312
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