A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic

A Machine Learning Model for Predicting Hospitalization in Patients with Respiratory Symptoms during the COVID-19 Pandemic

A machine learning approach is a useful tool for risk-stratifying patients with respiratory symptoms during the COVID-19 pandemic, as it is still evolving. We aimed to verify the predictive capacity of a gradient boosting decision trees (XGboost) algorithm to select the most important predictors inc...

Full description

Bibliographic Details
Main Authors: Victor Muniz De Freitas, Daniela Mendes Chiloff, Giulia Gabriella Bosso, Janaina Oliveira Pires Teixeira, Isabele Cristina de Godói Hernandes, Maira do Patrocínio Padilha, Giovanna Corrêa Moura, Luis Gustavo Modelli De Andrade, Frederico Mancuso, Francisco Estivallet Finamor, Aluísio Marçal de Barros Serodio, Jaquelina Sonoe Ota Arakaki, Marair Gracio Ferreira Sartori, Paulo Roberto Abrão Ferreira, Érika Bevilaqua Rangel
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Clinical Medicine
Subjects:
machine learning
COVID-19
hospitalization
predictive model
Online Access:https://www.mdpi.com/2077-0383/11/15/4574

Internet

https://www.mdpi.com/2077-0383/11/15/4574

Similar Items