A Machine Learning Model for Predicting Intensive Care Unit Admission in Inpatients with COVID-19 Using Clinical Data and Laboratory Biomarkers

A Machine Learning Model for Predicting Intensive Care Unit Admission in Inpatients with COVID-19 Using Clinical Data and Laboratory Biomarkers

<b>Background</b>: Artificial intelligence tools can help improve the clinical management of patients with severe COVID-19. The aim of this study was to validate a machine learning model to predict admission to the Intensive Care Unit (ICU) in individuals with COVID-19. <b>Methods&...

Full description

Saved in:
Bibliographic Details
Main Authors: Alfonso Heriberto Hernández-Monsalves, Pablo Letelier, Camilo Morales, Eduardo Rojas, Mauricio Alejandro Saez, Nicolás Coña, Javiera Díaz, Andrés San Martín, Paola Garcés, Jesús Espinal-Enriquez, Neftalí Guzmán
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Biomedicines
Subjects:
COVID-19
SARS-CoV-2
biomarkers
machine learning
precision medicine
personalized medicine
Online Access:https://www.mdpi.com/2227-9059/13/5/1025
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-9059/13/5/1025

Similar Items