A Clinical Decision Web to Predict ICU Admission or Death for Patients Hospitalised with COVID-19 Using Machine Learning Algorithms

The purpose of the study was to build a predictive model for estimating the risk of ICU admission or mortality among patients hospitalized with COVID-19 and provide a user-friendly tool to assist clinicians in the decision-making process. The study cohort comprised 3623 patients with confirmed COVID...

Descripción completa

Detalles Bibliográficos
Autores principales: Aznar-Gimeno, Rocío, Esteban, Luis M., Labata-Lezaun, Gorka, del-Hoyo-Alonso, Rafael, Abadia-Gallego, David, Paño-Pardo, J. Ramón, Esquillor-Rodrigo, M. José, Lanas, Ángel, Serrano, M. Trinidad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394359/
https://www.ncbi.nlm.nih.gov/pubmed/34444425
http://dx.doi.org/10.3390/ijerph18168677

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8394359/
https://www.ncbi.nlm.nih.gov/pubmed/34444425
http://dx.doi.org/10.3390/ijerph18168677

Ejemplares similares