We read with interest the article by Frondelius et al. entitled ‘Early prediction of ventilator-associated pneumonia with machine learning models: A systematic review and meta-analysis of prediction model performance’ [1]. The objective of this study was to evaluate the efficacy of different machine learning-based prediction models in predicting outcomes for adults undergoing invasive mechanical ventilation. Consequently, various prediction models, prediction intervals, and prediction windows were identified to aid in prompt diagnosis.
