Predictive modeling of morbidity and mortality in COVID-19 hospitalized patients and its clinical implications.

Clinical activity of 3740 de-identified COVID-19 positive patients treated at NYU Langone Health (NYULH) were collected between January and August 2020. XGBoost model trained on clinical data from the final 24 hours excelled at predicting mortality (AUC=0.92, specificity=86% and sensitivity=85%). Re...

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Detalles Bibliográficos
Autores principales: Wang, Joshua M., Liu, Wenke, Chen, Xiaoshan, McRae, Michael P., McDevitt, John T., Fenyö, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724684/
https://www.ncbi.nlm.nih.gov/pubmed/33300013
http://dx.doi.org/10.1101/2020.12.02.20235879

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7724684/
https://www.ncbi.nlm.nih.gov/pubmed/33300013
http://dx.doi.org/10.1101/2020.12.02.20235879

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