A machine learning model on Real World Data for predicting progression to Acute Respiratory Distress Syndrome (ARDS) among COVID-19 patients

INTRODUCTION: Identifying COVID-19 patients that are most likely to progress to a severe infection is crucial for optimizing care management and increasing the likelihood of survival. This study presents a machine learning model that predicts severe cases of COVID-19, defined as the presence of Acut...

Descripción completa

Detalles Bibliográficos
Autores principales: Lazzarini, Nicola, Filippoupolitis, Avgoustinos, Manzione, Pedro, Eleftherohorinou, Hariklia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333235/
https://www.ncbi.nlm.nih.gov/pubmed/35901089
http://dx.doi.org/10.1371/journal.pone.0271227

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9333235/
https://www.ncbi.nlm.nih.gov/pubmed/35901089
http://dx.doi.org/10.1371/journal.pone.0271227

Ejemplares similares