Risk Score for Prolonged Mechanical Ventilation in Coronary Artery Bypass Grafting

Developing an explainable machine learning model to predict the mechanical ventilation duration of patients with ARDS in intensive care units

“… 26 Accurate MV duration predictions can therefore allow better risk stratification of patients, assist clinical decision-making, and optimize ICU resource allocation, which is of great significance for improving both cost-effectiveness and patient outcomes. Although there has been considerable research and prediction models on prolonged MV duration, 31 , 32 , 33 , 34 , 35 , 36 since the definition of prolonged MV was not consistent, the performance evaluation of related prediction models is not applicable to all situations. 37 The study by Rose et al showed that in the past hundreds of studies, there were more than 30 definitions of extended MV alone, and the time span ranged from 72 hours to 3 months, which greatly weakened the generality of the model.…”