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Jae Yong Yu

Machine Learning and Initial Nursing Assessment-Based Triage System for Emergency Department
2020 · Jae Yong Yu, Gab Yong Jeong, et al. · Healthcare Informatics Research · 60
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Machine learning-based suggestion for critical interventions in the management of potentially severe conditioned patients in emergency department triage
2022 · Hansol Chang, Jae Yong Yu, et al. · Scientific Reports · 33
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Risk of Encountering Dorsal Scapular and Long Thoracic Nerves during Ultrasound-guided Interscalene Brachial Plexus Block with Nerve Stimulator
2016 · Yeon Dong Kim, Jae Yong Yu, et al. · The Korean journal of pain · 33
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Evaluation of conventional and quantum computing for predicting mortality based on small early-onset colorectal cancer data
2024 · Jae Yong Yu, Woo Seob Sim, et al. · Applied Soft Computing · 22
An external validation study of the Score for Emergency Risk Prediction (SERP), an interpretable machine learning-based triage score for the emergency department
2022 · Jae Yong Yu, Feng Xie, et al. · Scientific Reports · 22
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Development and validation of interpretable machine learning models for inpatient fall events and electronic medical record integration
2022 · Soyun Shim, Jae Yong Yu, et al. · Clinical and Experimental Emergency Medicine · 22
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Impact of COVID-19 Pandemic on the Overall Diagnostic and Therapeutic Process for Patients of Emergency Department and Those with Acute Cerebrovascular Disease
2020 · Hansol Chang, Jae Yong Yu, et al. · Journal of Clinical Medicine · 21
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Appropriateness of Alerts and Physicians’ Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study
2022 · Hyunjung Park, Minjung Kathy Chae, et al. · JMIR Medical Informatics · 18
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Inter hospital external validation of interpretable machine learning based triage score for the emergency department using common data model
2024 · Jae Yong Yu, Doyeop Kim, et al. · Scientific Reports · 14
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Effect of fever or respiratory symptoms on leaving without being seen during the COVID-19 pandemic in South Korea
2022 · Dohyung Kim, Weon Jung, et al. · Clinical and Experimental Emergency Medicine · 14
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National Surveillance of Pediatric Out-of-Hospital Cardiac Arrest in Korea: The 10-Year Trend From 2009 to 2018
2022 · Minha Kim, Jaeyong Yu, et al. · Journal of Korean Medical Science · 12
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)
2023 · Jae Yong Yu, Sejin Heo, et al. · The Lancet Regional Health - Western Pacific · 10
Prediction of post-donation renal function using machine learning techniques and conventional regression models in living kidney donors
2024 · Junseok Jeon, Yeejun Song, et al. · Journal of Nephrology · 9
Time Series AI Model for Acute Kidney Injury Detection Based on a Multicenter Distributed Research Network: Development and Verification Study
2024 · Suncheol Heo, Eun-Ae Kang, et al. · JMIR Medical Informatics · 9
Development of a Pressure Injury Machine Learning Prediction Model and Integration into Clinical Practice: A Prediction Model Development and Validation Study
2024 · Ju Hee Lee, Jae Yong Yu, et al. · Korean Journal of Adult Nursing · 8
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Clinical support system for triage based on federated learning for the Korea triage and acuity scale
2023 · Hansol Chang, Jae Yong Yu, et al. · Heliyon · 8
Prediction tool for renal adaptation after living kidney donation using interpretable machine learning
2023 · Junseok Jeon, Jae Yong Yu, et al. · Frontiers in Medicine · 8
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From prediction to action: a retrospective observational study on the real-world implementation of Critical Interventions (CrIs), an AI-based clinical decision support system changing clinical behavior in the emergency department
2025 · Hansol Chang, Jae Yong Yu, et al. · BMC Medical Informatics and Decision Making · 7
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PPFL: A personalized progressive federated learning method for leveraging different healthcare institution-specific features
2024 · Tae Hyun Kim, Jae Yong Yu, et al. · iScience · 7
Early Prediction of Unexpected Latent Shock in the Emergency Department Using Vital Signs
2023 · Hansol Chang, Weon Jung, et al. · Shock · 7
Application of an Interpretable Machine Learning for Estimating Severity of Graves’ Orbitopathy Based on Initial Finding
2023 · Seunghyun Lee, Jaeyong Yu, et al. · Journal of Clinical Medicine · 7
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Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study
2025 · Daseul Kim, Jae Yong Yu, et al. · Scientific Reports · 6
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Computationally efficient and stable real-world synthetic emergency room electronic health record data generation: high similarity and privacy preserving diffusion model approach: A retrospective cohort study
2024 · Javier Aguirre, Jae Yong Yu, et al. · Precision and Future Medicine · 6
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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
2023 · Suncheol Heo, Jae Yong Yu, et al. · Healthcare Informatics Research · 6
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Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea
2022 · Jae Yong Yu, Sungjun Hong, et al. · Healthcare Informatics Research · 6
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Works count: 46
Citation count: 406
H-index: 11
I10-index: 12
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