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Predicting the Length of Mechanical Ventilation in...
Journal article

Predicting the Length of Mechanical Ventilation in Acute Respiratory Disease Syndrome Using Machine Learning: The PIONEER Study

Abstract

Background: The ability to predict a long duration of mechanical ventilation (MV) by clinicians is very limited. We assessed the value of machine learning (ML) for early prediction of the duration of MV > 14 days in patients with moderate-to-severe acute respiratory distress syndrome (ARDS). Methods: This is a development, testing, and external validation study using data from 1173 patients on MV ≥ 3 days with moderate-to-severe ARDS. We first …

Authors

Villar J; González-Martín JM; Fernández C; Soler JA; Ambrós A; Pita-García L; Fernández L; Ferrando C; Arocas B; González-Vaquero M

Journal

Journal of Clinical Medicine, Vol. 13, No. 6,

Publisher

MDPI

DOI

10.3390/jcm13061811

ISSN

2077-0383