Integrating the interpretable machine learning Score For Emergency Risk Prediction (SERP) with emergency department triage to better predict 30-Day mortality

Puntos clave

• 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