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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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| Pubblicato in: | AMIA Jt Summits Transl Sci Proc |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
American Medical Informatics Association
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7233082/ https://ncbi.nlm.nih.gov/pubmed/32477672 |
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