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

Aim This study aimed to develop a predictive model to predict patients’ mortality with coronavirus disease 2019 (COVID-19) from the basic medical data on the first day of admission. Methods The medical data including the demographic, clinical, and laboratory features on the first day of admission of...

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Detalles Bibliográficos
Autores principales: Tabatabaie, Mohsen, Sarrami, Amir Hossein, Didehdar, Mojtaba, Tasorian, Baharak, Shafaat, Omid, Sotoudeh, Houman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2021
Materias:
Internal Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592290/
https://www.ncbi.nlm.nih.gov/pubmed/34804648
http://dx.doi.org/10.7759/cureus.18768

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592290/
https://www.ncbi.nlm.nih.gov/pubmed/34804648
http://dx.doi.org/10.7759/cureus.18768

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