Machine Learning to Predict Extubation Success Using the SBT
researchgate.netAmong the predictive models that used MOT, VCD, and the spontaneous breathing trial (SBT) as input variables through five machine learning techniques, decision trees and artificial neural networks demonstrated the best diagnostic performance.
These models excelled in accurately classifying patients regarding success in the SBT and extubation during the weaning process.
The study included 367 patients, of whom 219 (59.7%) were male.
The median age was 61 years, with a range of 18 to 88 years.
The mean weight was 70 kg (IQR 60 – 80 kg) and the mean height was 163.6 cm (SD 10 cm).
The median BMI was 25.3 kg/m² (IQR 21.7 – 29.1 kg/m²).