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Use of electronic health record data and machine learning to identify potential candidates for HIV preexposure prophylaxis: a modelling study
BACKGROUND. The limitations of existing HIV risk prediction tools are a barrier to preexposure prophylaxis (PrEP) implementation. We developed and validated an HIV prediction model to identify potential PrEP candidates in a large healthcare system. METHODS. Our study population was HIV-uninfected me...
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| Publicat a: | Lancet HIV |
|---|---|
| Autors principals: | , , , , , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
2019
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7152802/ https://ncbi.nlm.nih.gov/pubmed/31285183 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/S2352-3018(19)30137-7 |
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