Can Machine Learning Methods Predict Extubation Outcome in Premature Infants as well as Clinicians?

摘要

RationaleThough treatment of the prematurely born infant breathing with assistance of a mechanical ventilator has much advanced in the past decades, predicting extubation outcome at a given point in time remains challenging. Numerous studies have been conducted to identify predictors for extubation outcome; however, the rate of infants failing extubation attempts has not declined.