Multisite development and validation of machine learning models to predict severe outcomes and guide decision-making for emergency department patients with influenza.

Jeremiah S HinsonXihan ZhaoEili KleinOluwakemi Badaki-MakunRichard RothmanMartin CopenhaverAria SmithKatherine FenstermacherMatthew ToerperAndrew PekoszScott Levin

Published in: Journal of the American College of Emergency Physicians open (2024)

ML methods can be used to accurately predict clinical deterioration in ED patients with influenza and have potential to support ED disposition decision-making.

Keyphrases

emergency department
decision making
machine learning
artificial intelligence
big data
type diabetes
human health
skeletal muscle
drug induced