Learning Clinical Concepts for Predicting Risk of Progression to Severe COVID-19.

Zhou, Helen; Cheng, Cheng; Shields, Kelly J; Kochhar, Gursimran; Cheema, Tariq; Lipton, Zachary C; Weiss, Jeremy C

Zhou, Helen; Cheng, Cheng; Shields, Kelly J; Kochhar, Gursimran; Cheema, Tariq; Lipton, Zachary C; Weiss, Jeremy C.

Afiliación

Zhou H; Carnegie Mellon University, Pittsburgh, PA.
Cheng C; Carnegie Mellon University, Pittsburgh, PA.
Shields KJ; Highmark Health Enterprise Data & Analytics, Data Science R&D.
Kochhar G; Allegheny Health Network, Pittsburgh, PA.
Cheema T; Allegheny Health Network, Pittsburgh, PA.
Lipton ZC; Carnegie Mellon University, Pittsburgh, PA.
Weiss JC; Carnegie Mellon University, Pittsburgh, PA.

AMIA Annu Symp Proc ; 2022: 1257-1266, 2022.

Article en En | MEDLINE | ID: mdl-37128459

Asunto(s)

COVID-19; Humanos; Aprendizaje Automático; Factores de Riesgo; Pennsylvania

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Prognostic_studies / Risk_factors_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Panamá

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