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Won Chul Cha, M.D., Ph.D.

Affiliations: 
Digital Health SAIHST, Sungyunkwan University 
 Emergency Medicine Samsung Medical Center, Sungkyunkwan University School of Medicine 
Area:
Clinical Decision Support System, Emergency Department Overcrowding
Website:
smarthealthlab.skku.edu
Google:
"Won Chul Cha"
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Parents

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Children

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Hansol Chang grad student SAIHST, Sungyunkwan University
Sae Jin Hur grad student SAIHST, Sungyunkwan University
Sujeong Hur grad student SAIHST, Sungyunkwan University
Kwang Yul Jung grad student SAIHST, Sungyunkwan University
Su Min Kim grad student SAIHST, Sungyunkwan University
Ji Woong Kim grad student SAIHST, Sungyunkwan University
Ji Young So grad student SAIHST, Sungyunkwan University
Sunyoung Yoon grad student SAIHST, Sungyunkwan University
Jae Yong Yu grad student SAIHST, Sungyunkwan University
Junsang Yoo grad student 2017-2020 SAIHST, Sungyunkwan University
Junsang Yoo research scientist 2020-2024 SAIHST, Sungyunkwan University

Collaborators

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Min-Jeoung Kang collaborator
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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
Park S, Yoo J, Lee Y, et al. (2024) Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study. International Emergency Nursing. 74: 101424
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
Han H, Kim DS, Kim M, et al. (2023) A Simple Bacteremia Score for Predicting Bacteremia in Patients with Suspected Infection in the Emergency Department: A Cohort Study. Journal of Personalized Medicine. 14
Chang H, Kim JW, Jung W, et al. (2023) Machine learning pre-hospital real-time cardiac arrest outcome prediction (PReCAP) using time-adaptive cohort model based on the Pan-Asian Resuscitation Outcome Study. Scientific Reports. 13: 20344
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.)
Kim S, Chang H, Kim T, et al. (2023) Patient Anxiety and Communication Experience in the Emergency Department: A Mobile, Web-Based, Mixed-Methods Study on Patient Isolation During the COVID-19 Pandemic. Journal of Korean Medical Science. 38: e303
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
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