Accuracy of Machine Learning Models to Predict Mortality in COVID-19 Infection Using the Clinical and Laboratory Data at the Time of Admission.

Tabatabaie, Mohsen; Sarrami, Amir Hossein; Didehdar, Mojtaba; Tasorian, Baharak; Shafaat, Omid; Sotoudeh, Houman

Tabatabaie, Mohsen; Sarrami, Amir Hossein; Didehdar, Mojtaba; Tasorian, Baharak; Shafaat, Omid; Sotoudeh, Houman.

Afiliación

Tabatabaie M; Health Information Management, Arak University of Medical Sciences, Arak, IRN.
Sarrami AH; Radiology, University of Semnan, Semnan, IRN.
Didehdar M; Medical Parasitology and Mycology, Arak University of Medical Sciences, Arak, IRN.
Tasorian B; Internal Medicine, Arak University of Medical Sciences, Arak, IRN.
Shafaat O; Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, USA.
Sotoudeh H; Radiology, University of Alabama at Birmingham School of Medicine, Birmingham, USA.

Cureus ; 13(10): e18768, 2021 Oct.

Article en En | MEDLINE | ID: mdl-34804648

Palabras clave

artificial intelligence; covid-19; machine learning; mortality; pandemics; prognosis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cureus Año: 2021 Tipo del documento: Article Pais de publicación: Estados Unidos

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