| A real-time autonomous dashboard for the emergency department: 5-year case study J Yoo, KY Jung, T Kim, T Lee, SY Hwang, H Yoon, TG Shin, MS Sim, IJ Jo, ... JMIR mHealth and uHealth 6 (11), e10666, 2018 | 38 | 2018 |
| Predicting 30-day mortality of patients with pneumonia in an emergency department setting using machine-learning models SY Kang, WC Cha, J Yoo, T Kim, JH Park, H Yoon, SY Hwang, MS Sim, ... Clinical and Experimental Emergency Medicine 7 (3), 197, 2020 | 22 | 2020 |
| A machine learning–based algorithm for the prediction of intensive care unit delirium (PRIDE): retrospective study S Hur, RE Ko, J Yoo, J Ha, WC Cha, CR Chung JMIR medical informatics 9 (7), e23401, 2021 | 19 | 2021 |
| Development and validation of unplanned extubation prediction models using intensive care unit data: retrospective, comparative, machine learning study S Hur, JY Min, J Yoo, K Kim, CR Chung, PC Dykes, WC Cha Journal of medical Internet research 23 (8), e23508, 2021 | 17 | 2021 |
| Alert override patterns with a medication clinical decision support system in an academic emergency department: retrospective descriptive study J Yoo, J Lee, PL Rhee, DK Chang, M Kang, JS Choi, DW Bates, WC Cha JMIR Medical Informatics 8 (11), e23351, 2020 | 16 | 2020 |
| Experience of emergency department patients with using the talking pole device: prospective interventional descriptive study J Yoo, JY Soh, WH Lee, DK Chang, SU Lee, WC Cha JMIR mHealth and uHealth 6 (11), e9676, 2018 | 11 | 2018 |
| Development of an Interoperable and easily transferable clinical decision support system deployment platform: system design and development study J Yoo, J Lee, JY Min, SW Choi, J Kwon, I Cho, C Lim, MY Choi, WC Cha Journal of Medical Internet Research 24 (7), e37928, 2022 | 10 | 2022 |
| Candidemia risk prediction (CanDETEC) model for patients with malignancy: model development and validation in a single-center retrospective study J Yoo, SH Kim, S Hur, J Ha, K Huh, WC Cha JMIR Medical Informatics 9 (7), e24651, 2021 | 10 | 2021 |
| Healthcare Professionals’ Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study J Yoo, S Hur, W Hwang, WC Cha Healthc Inform Res 29 (1), 64-74, 2023 | 7 | 2023 |
| Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning–Based Approach D Yang, J Kim, J Yoo, WC Cha, H Paik JMIR Medical Informatics 10 (6), e37689, 2022 | 2 | 2022 |
| Effect of watch-type haptic metronome on the quality of cardiopulmonary resuscitation: A simulation study B Choi, T Kim, SY Yoon, JS Yoo, HJ Won, K Kim, EJ Kang, H Yoon, ... Healthcare Informatics Research 25 (4), 274, 2019 | 2 | 2019 |
| Prognostic Performance of Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation III, and Simplified Acute Physiology Score II Scores in Patients … SY Hwang, IK Kim, D Jeong, JE Park, GT Lee, J Yoo, K Choi, TG Shin, ... Journal of Clinical Medicine 12 (19), 6402, 2023 | 1 | 2023 |
| Temporal change in alert override rate with a minimally interruptive clinical decision support on a next-generation electronic medical record WC Cha, W Jung, J Yu, J Yoo, J Choi Medicina 56 (12), 662, 2020 | 1 | 2020 |
| Quantifying emergency department nursing workload at the task level using NASA-TLX: An exploratory descriptive study S Park, J Yoo, Y Lee, PB DeGuzman, MJ Kang, PC Dykes, SY Shin, ... International Emergency Nursing 74, 101424, 2024 | | 2024 |
| Clinical Trends in Management of Locally Advanced ESCC: Real-World Evidence from a Large Single-Center Cohort Study YJ Jeon, J Yoo, JH Cho, YM Shim Cancers 14 (19), 4953, 2022 | | 2022 |
| Development and Validation of Machine Learning Algorithms for Predicting Personalised Red Blood Cell Demand Among Patients with Thoracic Surgery S Hur, J Yoo, JY Min, YJ Jeon, JH Cho, JY Seo, D Cho, K Kim, Y Lee, ... Available at SSRN 4444434, 0 | | |
Cha Won ChulSamsung Medical CenterVerified email at samsung.com
