Jaeyong Yu

发表

Temporal Change in Alert Override Rate with a Minimally Interruptive Clinical Decision Support on a Next-Generation Electronic Medical Record

W. Cha, Jinwook Choi, Junsang Yoo, 2020, Medicina.

Impact of COVID-19 Pandemic on the Overall Diagnostic and Therapeutic Process for Patients of Emergency Department and Those with Acute Cerebrovascular Disease

S. Hwang, I. Jo, Hee Yoon, 2020, Journal of clinical medicine.

Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage

Taerim Kim, Wonchul Cha, Jaeyong Yu, 2022, Scientific Reports.

Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration

I. Cho, Wonchul Cha, So-hyun Shim, 2022, Clinical and experimental emergency medicine.

Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study

Hyunjung Park, M. K. Chae, Wonchul Cha, 2022, JMIR medical informatics.

An external validation study of the Score for Emergency Risk Prediction (SERP), an interpretable machine learning-based triage score for the emergency department

M. Ong, Y. Ng, Wonchul Cha, 2022, Scientific Reports.

National Surveillance of Pediatric Out-of-Hospital Cardiac Arrest in Korea: The 10-Year Trend From 2009 to 2018

S. Hwang, Se Uk Lee, Hee Yoon, 2022, Journal of Korean medical science.

Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea

W. Cha, Y. Lee, Soo-Yong Shin, 2022, Healthcare informatics research.

Predicting mid-term survival of patients during emergency department triage for resuscitation decision

S. Hwang, I. Jo, Se Uk Lee, 2022, Signa Vitae.

Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department

Dong Kyung Chang, W. Cha, O. Jeong, 2020, Healthcare informatics research.

Effect of fever or respiratory symptoms on leaving without being seen during the COVID-19 pandemic in South Korea

S. Hwang, I. Jo, Se Uk Lee, 2022, Clinical and experimental emergency medicine.

Development and Asian-wide validation of the Grade for Interpretable Field Triage (GIFT) for predicting mortality in pre-hospital patients using the Pan-Asian Trauma Outcomes Study (PATOS)

Se Uk Lee, W. Cha, K. Kajino, 2023, The Lancet regional health. Western Pacific.

Prediction tool for renal adaptation after living kidney donation using interpretable machine learning

H. Jang, Jung Eun Lee, W. Huh, 2023, Frontiers in medicine.

Clinical support system for triage based on federated learning for the Korea triage and acuity scale

S. Hwang, I. Jo, Se Uk Lee, 2023, Heliyon.

Development and Verification of Time-Series Deep Learning for Drug-Induced Liver Injury Detection in Patients Taking Angiotensin II Receptor Blockers: A Multicenter Distributed Research Network Approach

Y. Hwangbo, Y. Park, Rae Woong Park, 2023, Healthcare informatics research.