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

DOI10.1002/SIM.8591zbMATH Open1546.6228MaRDI QIDQ6627582

Katherine Hsu, Judith C. Maro, Douglas Krakower, Noelle M. Cocoros, Susan Gruber, Michael Klompas, John T. Menchaca, Benjamin A. Kruskal, Rebecca Hawrusik, Kenneth H. Mayer, Ira B. Wilson

Publication date: 29 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

EHRmachine learningpredictive modelingsuper learnerPrEPrisk score prediction

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

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