Automating document classification with distant supervision to increase the efficiency of systematic reviews: A case study on identifying studies with HIV impacts on female sex workers.

Li, Xiaoxiao; Zhang, Amy; Al-Zaidy, Rabah; Rao, Amrita; Baral, Stefan; Bao, Le; Giles, C Lee

Li, Xiaoxiao; Zhang, Amy; Al-Zaidy, Rabah; Rao, Amrita; Baral, Stefan; Bao, Le; Giles, C Lee.

Afiliación

Li X; Department of Statistics, Pennsylvania State University, University Park, PA, United States of America.
Zhang A; Department of Statistics, Pennsylvania State University, University Park, PA, United States of America.
Al-Zaidy R; Information and Computer Science Department, King Fahad University of Petroleum and Minerals, Dhahran, Saudi Arabia.
Rao A; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States of America.
Baral S; Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States of America.
Bao L; Department of Statistics, Pennsylvania State University, University Park, PA, United States of America.
Giles CL; College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, United States of America.

PLoS One ; 17(6): e0270034, 2022.

Article en En | MEDLINE | ID: mdl-35771807

Asunto(s)

COVID-19; Infecciones por VIH; Trabajadores Sexuales; Revisiones Sistemáticas como Asunto; Femenino; Infecciones por VIH/diagnóstico; Infecciones por VIH/prevención & control; Humanos; Curva ROC

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Infecciones por VIH / Trabajadores Sexuales / Revisiones Sistemáticas como Asunto / COVID-19 Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies / Systematic_reviews Límite: Female / Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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