Jae Yong Yu

Affiliations: 
SAIHST, Sungyunkwan University 
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"Jae Yu"
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Publications

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Yu JY, Heo S, Xie F, et al. (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]. The Lancet Regional Health. Western Pacific. 44: 100996
Yu JY, Kim D, Yoon S, et al. (2024) Inter hospital external validation of interpretable machine learning based triage score for the emergency department using common data model. Scientific Reports. 14: 6666
Chang H, Jung W, Ha J, et al. (2023) REPLY to letter " A Critical Review of Predictive Modeling with 'Latent Shock' Variable". Shock (Augusta, Ga.)
Chang H, Yu JY, Lee GH, et al. (2023) Clinical support system for triage based on federated learning for the Korea triage and acuity scale. Heliyon. 9: e19210
Chang H, Jung W, Ha J, et al. (2023) EARLY PREDICTION OF UNEXPECTED LATENT SHOCK IN THE EMERGENCY DEPARTMENT USING VITAL SIGNS. Shock (Augusta, Ga.)
Jeon J, Yu JY, Song Y, et al. (2023) Prediction tool for renal adaptation after living kidney donation using interpretable machine learning. Frontiers in Medicine. 10: 1222973
Yu JY, Heo S, Xie F, et al. (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). The Lancet Regional Health. Western Pacific. 34: 100733
Yu JY, Xie F, Nan L, et al. (2022) An external validation study of the Score for Emergency Risk Prediction (SERP), an interpretable machine learning-based triage score for the emergency department. Scientific Reports. 12: 17466
Shim S, Yu JY, Jekal S, et al. (2022) Development and Validation of Interpretable Machine Learning Models for Inpatient Fall Events and EMR Integration. Clinical and Experimental Emergency Medicine
Chang H, Yu JY, Yoon S, et al. (2022) Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage. Scientific Reports. 12: 10537
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