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Healthcare Informatics Research
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May 20, 2017
What We Need to Prepare for the Fourth Industrial Revolution
Dukyong Yoon
Yonsei Medical Journal
|
January 18, 2022
Preparing for a New World: Making Friends with Digital Health
Dukyong 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 Atherosclerosis
Changho Han, Dukyong Yoon
Healthcare Informatics Research
|
November 16, 2022
Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units
Sora Kang, Chul Park, Jinseok Lee, et al.
Healthcare Informatics Research
|
February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
Jong-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 study
Jonghwan 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 signals
Eugene 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 Mellitus
Namgi Park, Ja Young Jeon, Eugene Jeong, et al.
Plos One
|
December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder
Jong-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 signals
Eugene Jeong, Namgi Park, Young Choi, et al.
Page
of 11
Search research articles
Search
Showing results (1-10 of 103) with videos related to
Sort By:
Page
of 11
Healthcare Informatics Research
|
May 20, 2017
What We Need to Prepare for the Fourth Industrial Revolution
Dukyong Yoon
Yonsei Medical Journal
|
January 18, 2022
Preparing for a New World: Making Friends with Digital Health
Dukyong 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 Atherosclerosis
Changho Han, Dukyong Yoon
Healthcare Informatics Research
|
November 16, 2022
Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units
Sora Kang, Chul Park, Jinseok Lee, et al.
Healthcare Informatics Research
|
February 21, 2021
Effectiveness of Transfer Learning for Deep Learning-Based Electrocardiogram Analysis
Jong-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 study
Jonghwan 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 signals
Eugene 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 Mellitus
Namgi Park, Ja Young Jeon, Eugene Jeong, et al.
Plos One
|
December 1, 2021
Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder
Jong-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 signals
Eugene Jeong, Namgi Park, Young Choi, et al.
Page
of 11