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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...

詳細記述

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書誌詳細
出版年:Lancet HIV
主要な著者: Marcus, Julia L., Hurley, Leo B., Krakower, Douglas S., Alexeeff, Stacey, Silverberg, Michael J., Volk, Jonathan E.
フォーマット: Artigo
言語:Inglês
出版事項: 2019
主題:
オンライン・アクセス: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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