Junsang Yoo, Ph.D.
Affiliations: | 2017-2020 | Digital Health | SAIHST, Sungyunkwan University |
Area:
Clinical Decision Support System, Clinical Informatics, Workflow, WorkloadGoogle:
"Junsang Yoo"Parents
Sign in to add mentorWon Chul Cha | grad student | 2017-2020 | SAIHST, Sungyunkwan University |
Won Chul Cha | research scientist | 2020-2024 | SAIHST, Sungyunkwan University |
Collaborators
Sign in to add collaboratorSujeong Hur | collaborator | ||
Kwang Yul Jung | collaborator | ||
Min-Jeoung Kang | collaborator |
BETA: Related publications
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Publications
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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 |
Yoo J, Hur S, Hwang W, et al. (2023) Healthcare Professionals' Expectations of Medical Artificial Intelligence and Strategies for its Clinical Implementation: A Qualitative Study. Healthcare Informatics Research. 29: 64-74 |
Yoo J, Lee J, Min JY, et al. (2022) Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study. Journal of Medical Internet Research. 24: e37928 |
Yang D, Kim J, Yoo J, et al. (2022) Identifying the Risk of Sepsis in Patients With Cancer Using Digital Health Care Records: Machine Learning-Based Approach. Jmir Medical Informatics. 10: e37689 |
Yoo J, Kim SH, Hur S, et al. (2022) Correction: Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective Study. Jmir Medical Informatics. 10: e36385 |
Hur S, Min JY, Yoo J, et al. (2021) Development and Validation of Unplanned Extubation Prediction Models Using Intensive Care Unit Data: Retrospective, Comparative, Machine Learning Study. Journal of Medical Internet Research. 23: e23508 |
Yoo J, Kim SH, Hur S, et al. (2021) Candidemia Risk Prediction (CanDETEC) Model for Patients With Malignancy: Model Development and Validation in a Single-Center Retrospective Study. Jmir Medical Informatics. 9: e24651 |
Hur S, Ko RE, Yoo J, et al. (2021) A Machine Learning-Based Algorithm for the Prediction of Intensive Care Unit Delirium (PRIDE): Retrospective Study. Jmir Medical Informatics. 9: e23401 |
Cha WC, Jung W, Yu J, et al. (2020) Temporal Change in Alert Override Rate with a Minimally Interruptive Clinical Decision Support on a Next-Generation Electronic Medical Record. Medicina (Kaunas, Lithuania). 56 |
Yoo J, Lee J, Rhee PL, et al. (2020) Alert Override Patterns With a Medication Clinical Decision Support System in an Academic Emergency Department: Retrospective Descriptive Study. Jmir Medical Informatics. 8: e23351 |