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
early onset
artificial intelligence
adipose tissue
risk assessment
metabolic syndrome
adverse drug
drug induced