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Shock (Augusta, Ga.)|July 31, 2023
EARLY PREDICTION OF UNEXPECTED LATENT SHOCK IN THE EMERGENCY DEPARTMENT USING VITAL SIGNSHansol Chang, Weon Jung, Juhyung Ha, et al.
Clinical and Experimental Emergency Medicine|September 21, 2022
Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integrationSoyun Shim, Jae Yong Yu, Seyong Jekal, et al.
Healthcare Informatics Research|August 17, 2023
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 ApproachSuncheol Heo, Jae Yong Yu, Eun Ae Kang, et al.
The Lancet Regional Health. Western Pacific|June 7, 2023
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)Jae Yong Yu, Sejin Heo, Feng Xie, et al.
JMIR Medical Informatics|July 23, 2024
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification StudySuncheol Heo, Eun-Ae Kang, Jae Yong Yu, et al.
The Lancet Regional Health. Western Pacific|March 27, 2024
Corrigendum to "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)" [The Lancet Regional Health - Western Pacific 34 (2023) 100733]Jae Yong Yu, Sejin Heo, Feng Xie, et al.
Scientific Reports|March 21, 2024
Inter hospital external validation of interpretable machine learning based triage score for the emergency department using common data modelJae Yong Yu, Doyeop Kim, Sunyoung Yoon, et al.
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