Published: 30 December 2023
Author(s): Liqi Li
Issue: May 2024
Section: Letter to the Editor

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.

Newsletters

Stay informed on our latest news!

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.