Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm

Abstract This study aims to develop a Machine Learning model to assess the risks faced by COVID-19 patients in a hospital setting, focusing specifically on predicting the complications leading to Intensive Care Unit (ICU) admission or mortality, which are minority classes compared to the majority cl...

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Bibliographic Details
Main Authors:	Rosario Delgado, Francisco Fernández-Peláez, Natàlia Pallarés, Vicens Diaz-Brito, Elisenda Izquierdo, Isabel Oriol, Antonella Simonetti, Cristian Tebé, Sebastià Videla, Jordi Carratalà
Format:	Article
Language:	English
Published:	Nature Portfolio 2024-11-01
Series:	Scientific Reports
Subjects:	COVID-19 patient risks assessment Cost-sensitive Machine Learning modelling Bayesian Networks Multiclass classification thresholding Healthcare decision-making
Online Access:	https://doi.org/10.1038/s41598-024-77386-7
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Predictive risk models for COVID-19 patients using the multi-thresholding meta-algorithm

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