Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients

BACKGROUND: Accurate risk stratification of critically ill patients with coronavirus disease 2019 (COVID-19) is essential for optimizing resource allocation, delivering targeted interventions, and maximizing patient survival probability. Machine learning (ML) techniques are attracting increased inte...

Descripción completa

Detalles Bibliográficos
Autores principales: Montomoli, Jonathan, Romeo, Luca, Moccia, Sara, Bernardini, Michele, Migliorelli, Lucia, Berardini, Daniele, Donati, Abele, Carsetti, Andrea, Bocci, Maria Grazia, Wendel Garcia, Pedro David, Fumeaux, Thierry, Guerci, Philippe, Schüpbach, Reto Andreas, Ince, Can, Frontoni, Emanuele, Hilty, Matthias Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531027/
https://www.ncbi.nlm.nih.gov/pubmed/36785563
http://dx.doi.org/10.1016/j.jointm.2021.09.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8531027/
https://www.ncbi.nlm.nih.gov/pubmed/36785563
http://dx.doi.org/10.1016/j.jointm.2021.09.002

Ejemplares similares