Early prediction of hypothermia in pediatric intensive care units using machine learning
Published in Frontiers in Physiology, 2022
This paper presents machine learning models for early prediction of hypothermia in pediatric intensive care settings. The work uses the SafeICU data resource and establishes the ThermoGnose pipeline for predicting hypothermia several hours ahead of onset.
Recommended citation: Singh, P. et al. (2022). Early prediction of hypothermia in pediatric intensive care units using machine learning.
Download Paper