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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 |