TY  - JOUR
AU  - Muñoz Lezcano, Sergio
AU  - Armengol de la Hoz, Miguel Ángel
AU  - Corbi, Alberto
AU  - López Hernández, Fernando Carlos
AU  - Sánchez García, Miguel
AU  - Nuñez Reiz, Antonio
AU  - Fariña González, Tomás
AU  - Yordanov Zlatkov, Viktor
PY  - 2025
DO  - 10.1016/j.medine.2023.07.009
UR  - https://hdl.handle.net/20.500.14352/124862
T2  - Medicina Intensiva (English Edition)
AB  - Objective: To determine if potential predictors for invasive mechanical ventilation (IMV) are also determinants for mortality in COVID-19-associated acute respiratory distress syndrome (C-ARDS).Design: Single center highly detailed longitudinal...
LA  - eng
M2  - 3
KW  - Acute respiratory distress syndrome
KW  - Artificial intelligence
KW  - Invasive mechanical ventilation
KW  - Machine learning
KW  - Aprendizaje automático
KW  - COVID-19
KW  - Inteligencia artificial
KW  - Predictores
TI  - Predictors of mechanical ventilation and mortality in critically ill patients with COVID-19 pneumonia
TY  - journal article
VL  - 48
ER  -