Use of Machine Learning to Estimate the Per-Protocol Effect of Low-Dose Aspirin on Pregnancy Outcomes: A Secondary Analysis of a Randomized Clinical Trial.

Zhong, Yongqi; Brooks, Maria M; Kennedy, Edward H; Bodnar, Lisa M; Naimi, Ashley I

Zhong, Yongqi; Brooks, Maria M; Kennedy, Edward H; Bodnar, Lisa M; Naimi, Ashley I.

Afiliación

Zhong Y; Department of Epidemiology, The Johns Hopkins University, Baltimore, Maryland.
Brooks MM; Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kennedy EH; Department of Data Science and Statistics, Carnegie Mellon University, Pittsburgh, Pennsylvania.
Bodnar LM; Department of Epidemiology, University of Pittsburgh, Pittsburgh, Pennsylvania.
Naimi AI; Department of Epidemiology, Emory University, Atlanta, Georgia.

JAMA Netw Open ; 5(3): e2143414, 2022 03 01.

Article en En | MEDLINE | ID: mdl-35262718

Asunto(s)

Aborto Espontáneo; Aspirina; Adulto; Aspirina/uso terapéutico; Método Doble Ciego; Femenino; Humanos; Aprendizaje Automático; Masculino; Embarazo; Resultado del Embarazo

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Aborto Espontáneo / Aspirina Tipo de estudio: Clinical_trials / Guideline / Prognostic_studies Límite: Adult / Female / Humans / Male / Pregnancy Idioma: En Revista: JAMA Netw Open Año: 2022 Tipo del documento: Article

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