Machine learning-based identification of efficient and restrictive physiological subphenotypes in acute respiratory distress syndrome

Abstract Introduction Acute respiratory distress syndrome (ARDS) is a severe condition with high morbidity and mortality, characterized by significant clinical heterogeneity. This heterogeneity complicates treatment selection and patient inclusion in clinical trials. Therefore, the objective of this...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Gabriela Meza-Fuentes, Iris Delgado, Mario Barbé, Ignacio Sánchez-Barraza, Mauricio A. Retamal, René López
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2025-03-01
Serie:	Intensive Care Medicine Experimental
Soggetti:	Acute respiratory distress syndrome Subphenotypes Artificial intelligence Personalized medicine
Accesso online:	https://doi.org/10.1186/s40635-025-00737-9
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!