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Using electronic health records to identify candidates for human immunodeficiency virus pre-exposure prophylaxis: An application of super learning to risk prediction when the outcome is rare

Human immunodeficiency virus (HIV) pre-exposure prophylaxis (PrEP) protects high risk patients from becoming infected with HIV. Clinicians need help to identify candidates for PrEP based on information routinely collected in electronic health records (EHRs). The greatest statistical challenge in dev...

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Foilsithe in:Stat Med
Main Authors: Gruber, Susan, Krakower, Douglas, Menchaca, John T., Hsu, Katherine, Hawrusik, Rebecca, Maro, Judith C., Cocoros, Noelle M., Kruskal, Benjamin A., Wilson, Ira B., Mayer, Kenneth H., Klompas, Michael
Formáid: Artigo
Teanga:Inglês
Foilsithe: 2020
Ábhair:
Rochtain Ar Líne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7646998/
https://ncbi.nlm.nih.gov/pubmed/32578905
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8591
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