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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
Research article (Statistics in Medicine, 2020) · cited 27× · AI/ML
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
Summary
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 is a scholarly article[1].
Key Facts
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's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). 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. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-electronic-health-records-to-identify-candidates-for-human-immunodeficiency-virus-preexposure-prophylaxis-an-appli
MLA“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.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-electronic-health-records-to-identify-candidates-for-human-immunodeficiency-virus-preexposure-prophylaxis-an-appli.
BibTeX@misc{4ortxyz_using-electronic-health-records-to-identify-candidates-for-human-immunodeficiency-virus-preexposure-prophylaxis-an-appli_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{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}}, year = {2026}, url = {https://4ort.xyz/entity/using-electronic-health-records-to-identify-candidates-for-human-immunodeficiency-virus-preexposure-prophylaxis-an-appli}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): 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 — https://4ort.xyz/entity/using-electronic-health-records-to-identify-candidates-for-human-immunodeficiency-virus-preexposure-prophylaxis-an-appli (retrieved 2026-05-24)
