Machine learning approaches to predict peak demand days of cardiovascular admissions considering environmental exposure.

This study suggests that ensemble learning models, especially the LightGBM model, can be used to effectively predict the peak events of CVDs admissions, and therefore could be a very useful decision-making tool for medical resource management.