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Dukyong Yoon

Showing results (1-10 of 103) with videos related to

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Healthcare Informatics Research|May 20, 2017
What We Need to Prepare for the Fourth Industrial RevolutionDukyong Yoon
Yonsei Medical Journal|January 18, 2022
Preparing for a New World: Making Friends with Digital HealthDukyong Yoon
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 3, 2024
An Explainable Artificial Intelligence-enabled ECG Framework for the Prediction of Subclinical Coronary AtherosclerosisChangho Han, Dukyong Yoon
Healthcare Informatics Research|November 16, 2022
Machine Learning Model for the Prediction of Hemorrhage in Intensive Care UnitsSora Kang, Chul Park, Jinseok Lee, et al.
Healthcare Informatics Research|February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram AnalysisJong-Hwan Jang, Tae Young Kim, Dukyong Yoon
Acute and Critical Care|June 9, 2020
Inclusion of lactate level measured upon emergency room arrival in trauma outcome prediction models improves mortality prediction: a retrospective, single-center studyJonghwan Moon, Kyungjin Hwang, Dukyong Yoon, et al.
Plos One|November 22, 2018
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsEugene Jeong, Namgi Park, Young Choi, et al.
Endocrinology and Metabolism (Seoul, Korea)|February 10, 2022
Drug Repositioning Using Temporal Trajectories of Accompanying Comorbidities in Diabetes MellitusNamgi Park, Ja Young Jeon, Eugene Jeong, et al.
Plos One|December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoderJong-Hwan Jang, Tae Young Kim, Hong-Seok Lim, et al.
Plos One|April 10, 2019
Correction: Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsEugene Jeong, Namgi Park, Young Choi, et al.
Pageof 11

Showing results (1-10 of 103) with videos related to

Sort By:
Pageof 11
Healthcare Informatics Research|May 20, 2017
What We Need to Prepare for the Fourth Industrial RevolutionDukyong Yoon
Yonsei Medical Journal|January 18, 2022
Preparing for a New World: Making Friends with Digital HealthDukyong Yoon
AMIA Joint Summits on Translational Science Proceedings. AMIA Joint Summits on Translational Science|June 3, 2024
An Explainable Artificial Intelligence-enabled ECG Framework for the Prediction of Subclinical Coronary AtherosclerosisChangho Han, Dukyong Yoon
Healthcare Informatics Research|November 16, 2022
Machine Learning Model for the Prediction of Hemorrhage in Intensive Care UnitsSora Kang, Chul Park, Jinseok Lee, et al.
Healthcare Informatics Research|February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram AnalysisJong-Hwan Jang, Tae Young Kim, Dukyong Yoon
Acute and Critical Care|June 9, 2020
Inclusion of lactate level measured upon emergency room arrival in trauma outcome prediction models improves mortality prediction: a retrospective, single-center studyJonghwan Moon, Kyungjin Hwang, Dukyong Yoon, et al.
Plos One|November 22, 2018
Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsEugene Jeong, Namgi Park, Young Choi, et al.
Endocrinology and Metabolism (Seoul, Korea)|February 10, 2022
Drug Repositioning Using Temporal Trajectories of Accompanying Comorbidities in Diabetes MellitusNamgi Park, Ja Young Jeon, Eugene Jeong, et al.
Plos One|December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoderJong-Hwan Jang, Tae Young Kim, Hong-Seok Lim, et al.
Plos One|April 10, 2019
Correction: Machine learning model combining features from algorithms with different analytical methodologies to detect laboratory-event-related adverse drug reaction signalsEugene Jeong, Namgi Park, Young Choi, et al.
Pageof 11