Integrating the interpretable machine learning Score For Emergency Risk Prediction (SERP) with emergency department triage to better predict 30-Day mortality | Synapse
April 5, 2026Open Access
Integrating the interpretable machine learning Score For Emergency Risk Prediction (SERP) with emergency department triage to better predict 30-Day mortality
Key Points
This research aims to enhance the prediction of 30-day mortality using machine learning within emergency department triage.
Integrated the SERP algorithm with existing emergency department triage protocols
Utilized PACS for data input and analysis
Assessed prediction accuracy for 30-day mortality outcomes
Improved accuracy in predicting 30-day mortality compared to traditional methods
Demonstrated enhanced performance when SERP was included in triage processes
Abstract
Integrating ML-based SERP with PACS improved 30-day mortality prediction in ED triage.