Identification of Variable Importance for Predictions of Mortality From COVID-19 Using AI Models for Ontario, Canada

The Severe Acute Respiratory Syndrome Coronavirus 2 pandemic has challenged medical systems to the brink of collapse around the globe. In this paper, logistic regression and three other artificial intelligence models (XGBoost, Artificial Neural Network and Random Forest) are described and used to pr...

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Detalles Bibliográficos
Autores principales: Snider, Brett, McBean, Edward A., Yawney, John, Gadsden, S. Andrew, Patel, Bhumi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255789/
https://www.ncbi.nlm.nih.gov/pubmed/34235131
http://dx.doi.org/10.3389/fpubh.2021.675766

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8255789/
https://www.ncbi.nlm.nih.gov/pubmed/34235131
http://dx.doi.org/10.3389/fpubh.2021.675766

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