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Taeyong Sim

Showing results (21-30 of 24) with videos related to

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JMIR Medical Informatics|August 22, 2025
Deep Learning-Based Early Warning Systems in Hospitalized Patients at Risk of Code Blue Events and Length of Stay: Retrospective Real-World Implementation StudyJi-Hyun Kim, Eun Young Cho, Yuhyun Choi, et al.
Journal of Clinical Medicine|April 12, 2025
Preserving Informative Presence: How Missing Data and Imputation Strategies Affect the Performance of an AI-Based Early Warning ScoreTaeyong Sim, Sangchul Hahn, Kwang-Joon Kim, et al.
BMJ Health & Care Informatics|June 20, 2025
Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational studyJi-Hyun Kim, KyungHyun Lee, Kwang Joon Kim, et al.
Acute and Critical Care|June 10, 2025
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South KoreaTaeyong Sim, Eun Young Cho, Ji-Hyun Kim, et al.
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Showing results (21-30 of 24) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 24 results.
JMIR Medical Informatics|August 22, 2025
Deep Learning-Based Early Warning Systems in Hospitalized Patients at Risk of Code Blue Events and Length of Stay: Retrospective Real-World Implementation StudyJi-Hyun Kim, Eun Young Cho, Yuhyun Choi, et al.
Journal of Clinical Medicine|April 12, 2025
Preserving Informative Presence: How Missing Data and Imputation Strategies Affect the Performance of an AI-Based Early Warning ScoreTaeyong Sim, Sangchul Hahn, Kwang-Joon Kim, et al.
BMJ Health & Care Informatics|June 20, 2025
Validation of an artificial intelligence-based algorithm for predictive performance and risk stratification of sepsis using real-world data from hospitalised patients: a prospective observational studyJi-Hyun Kim, KyungHyun Lee, Kwang Joon Kim, et al.
Acute and Critical Care|June 10, 2025
Prospective external validation of a deep-learning-based early-warning system for major adverse events in general wards in South KoreaTaeyong Sim, Eun Young Cho, Ji-Hyun Kim, et al.
Pageof 3