Publications by authors named "Kyung Won Jeong"
Article Synopsis
- Emergency departments (ED) use triage to prioritize patients, and a new machine learning tool called Score for Emergency Risk Prediction (SERP) was developed to improve this process using data from three Korean hospitals without data sharing.
- The study analyzed adult emergency visits from 2016 to 2017, focusing on predicting 2-day mortality rates for better patient outcomes.
- Results indicated that the developed SERP models achieved high accuracy in predicting mortality, with inter-hospital validation showing an area under the ROC curve (AUROC) of at least 0.899, demonstrating effective risk assessment across different hospitals.
