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Using Clinical Notes and Natural Language Processing for Automated HIV Risk Assessment
OBJECTIVE: Universal HIV screening programs are costly, labor-intensive, and often fail to identify high-risk individuals. Automated risk assessment methods that leverage longitudinal electronic health records (EHRs) could catalyze targeted screening programs. While social and behavioral determinant...
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| Publicado no: | J Acquir Immune Defic Syndr |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5762388/ https://ncbi.nlm.nih.gov/pubmed/29084046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/QAI.0000000000001580 |
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