Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida

Using machine learning to identify patient characteristics to predict mortality of in-patients with COVID-19 in South Florida

IntroductionThe SARS-CoV-2 (COVID-19) pandemic has created substantial health and economic burdens in the US and worldwide. As new variants continuously emerge, predicting critical clinical events in the context of relevant individual risks is a promising option for reducing the overall burden of CO...

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Bibliographic Details
Main Authors: Debarshi Datta, Safiya George Dalmida, Laurie Martinez, David Newman, Javad Hashemi, Taghi M. Khoshgoftaar, Connor Shorten, Candice Sareli, Paula Eckardt
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-07-01
Series:Frontiers in Digital Health
Subjects:
COVID-19 pandemic
random forest classifier
gini index
feature analysis and prediction
SHAP (Shapley additive explanation)
SMOTE (Synthetic minority over-sampling techniques)
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1193467/full

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https://www.frontiersin.org/articles/10.3389/fdgth.2023.1193467/full

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