Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children

R-libre, 21/02/2019

Partagé par : 

Beesens Teams

Using machine learning models to predict oxygen saturation following ventilator support adjustment in critically ill children

"In an intensive care units, experts in mechanical ventilation are not continuously at patient’s bedside to adjust ventilation settings and to analyze the impact of these adjustments on gas exchange. The development of clinical decision support systems analyzing patients’ data in real time offers an opportunity to fill this gap.
The objective of this study was to determine whether a machine learning predictive model could be trained on a set of clinical data and used to predict transcutaneous hemoglobin oxygen saturation 5 min (5min SpO2) after a ventilator setting change...." Lire la suite