Machine learning models to evaluate mortality in pediatric patients with pneumonia in the intensive care unit.

Siang-Rong LinJeng-Hung WuYun-Chung LiuPei-Hsin ChiuTu-Hsuan ChangEn-Ting WuChia-Ching Chou Luan-Yin ChangFei-Pei Lai

Published in: Pediatric pulmonology (2024)

This study demonstrated that the machine learning models for predicting ICU mortality and 24-h ICU mortality in children with pneumonia have the potential to support decision-making, especially in resource-limited settings.

Keyphrases

machine learning
cardiovascular events
intensive care unit
decision making
risk factors
artificial intelligence
young adults
mechanical ventilation
big data
cardiovascular disease
coronary artery disease
type diabetes
deep learning
climate change
acute respiratory distress syndrome