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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Udgivet i: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
Format: Artigo
Sprog:Inglês
Udgivet: 2020
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Article
Online adgang: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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