Novel Machine Learning Approach to Predict and Personalize Length of Stay for Patients Admitted with Syncope from the Emergency Department

A million-patient syncope cohort trained a neural network to classify length-of-stay thresholds with AUCs up to 0.88, translating triage data into resource guidance.