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Extracting Smoking Status from Electronic Health Records Using NLP and Deep Learning

Half a million people die every year from smoking-related issues across the United States. It is essential to identify individuals who are tobacco-dependent in order to implement preventive measures. In this study, we investigate the effectiveness of deep learning models to extract smoking status of...

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Detalhes bibliográficos
Publicado no:AMIA Jt Summits Transl Sci Proc
Main Authors: Rajendran, Suraj, Topaloglu, Umit
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7233082/
https://ncbi.nlm.nih.gov/pubmed/32477672
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