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Oyeon Kwon

Showing results (1-10 of 6) with videos related to

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Frontiers in Cardiovascular Medicine|April 25, 2022
Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG AlgorithmChangho Han, Oyeon Kwon, Mineok Chang, et al.
Biomedical Journal|April 14, 2022
Development and validation of a deep-learning-based pediatric early warning system: A single-center studySeong Jong Park, Kyung-Jae Cho, Oyeon Kwon, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|March 6, 2020
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical servicesDa-Young Kang, Kyung-Jae Cho, Oyeon Kwon, et al.
Critical Care Medicine|March 25, 2020
Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response SystemKyung-Jae Cho, Oyeon Kwon, Joon-Myoung Kwon, et al.
Journal of Korean Medical Science|April 26, 2022
Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected InfectionRyoung-Eun Ko, Oyeon Kwon, Kyung-Jae Cho, et al.
Resuscitation|April 25, 2021
A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wardsYeon Joo Lee, Kyung-Jae Cho, Oyeon Kwon, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Frontiers in Cardiovascular Medicine|April 25, 2022
Evaluating the Risk of Paroxysmal Atrial Fibrillation in Noncardioembolic Ischemic Stroke Using Artificial Intelligence-Enabled ECG AlgorithmChangho Han, Oyeon Kwon, Mineok Chang, et al.
Biomedical Journal|April 14, 2022
Development and validation of a deep-learning-based pediatric early warning system: A single-center studySeong Jong Park, Kyung-Jae Cho, Oyeon Kwon, et al.
Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine|March 6, 2020
Artificial intelligence algorithm to predict the need for critical care in prehospital emergency medical servicesDa-Young Kang, Kyung-Jae Cho, Oyeon Kwon, et al.
Critical Care Medicine|March 25, 2020
Detecting Patient Deterioration Using Artificial Intelligence in a Rapid Response SystemKyung-Jae Cho, Oyeon Kwon, Joon-Myoung Kwon, et al.
Journal of Korean Medical Science|April 26, 2022
Quick Sequential Organ Failure Assessment Score and the Modified Early Warning Score for Predicting Clinical Deterioration in General Ward Patients Regardless of Suspected InfectionRyoung-Eun Ko, Oyeon Kwon, Kyung-Jae Cho, et al.
Resuscitation|April 25, 2021
A multicentre validation study of the deep learning-based early warning score for predicting in-hospital cardiac arrest in patients admitted to general wardsYeon Joo Lee, Kyung-Jae Cho, Oyeon Kwon, et al.
Pageof 1