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Byung Jin Choi

Showing results (1-10 of 9) with videos related to

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Healthcare Informatics Research|August 13, 2021
Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical RecordsTae Young Kim, Byung Jin Choi, Yeryung Koo, et al.
Plos One|January 31, 2022
Data-driven drug-induced QT prolongation surveillance using adverse reaction signals derived from 12-lead and continuous electrocardiogram dataByung Jin Choi, Yeryung Koo, Tae Young Kim, et al.
Korean Journal of Anesthesiology|January 20, 2020
Discovering hidden information in biosignals from patients using artificial intelligenceDukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, et al.
Computational Intelligence and Neuroscience|April 8, 2020
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine LearningHye-Jin Kim, Sung Min Park, Byung Jin Choi, et al.
Yonsei Medical Journal|June 24, 2022
Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk PregnanciesTae Jun Park, Hye Jin Chang, Byung Jin Choi, et al.
Annals of Occupational and Environmental Medicine|November 19, 2019
A study on the characteristics of Maslach Burnout Inventory-General Survey (MBI-GS) of workers in one electronics companyYoung Gon Choi, Byung Jin Choi, Tae Hwi Park, et al.
Scientific Reports|May 19, 2023
Evaluation of rosuvastatin-induced QT prolongation risk using real-world data, in vitro cardiomyocyte studies, and mortality assessmentYeryung Koo, Sung-Ae Hyun, Byung Jin Choi, et al.
Scientific Reports|March 26, 2021
Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practiceByung Jin Choi, Yeryung Koo, Tae Young Kim, et al.
Frontiers in Neuroinformatics|March 31, 2022
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With DementiaBumhee Park, Byung Jin Choi, Heirim Lee, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Healthcare Informatics Research|August 13, 2021
Development of a Risk Score for QT Prolongation in the Intensive Care Unit Using Time-Series Electrocardiogram Data and Electronic Medical RecordsTae Young Kim, Byung Jin Choi, Yeryung Koo, et al.
Plos One|January 31, 2022
Data-driven drug-induced QT prolongation surveillance using adverse reaction signals derived from 12-lead and continuous electrocardiogram dataByung Jin Choi, Yeryung Koo, Tae Young Kim, et al.
Korean Journal of Anesthesiology|January 20, 2020
Discovering hidden information in biosignals from patients using artificial intelligenceDukyong Yoon, Jong-Hwan Jang, Byung Jin Choi, et al.
Computational Intelligence and Neuroscience|April 8, 2020
Spatiotemporal Approaches for Quality Control and Error Correction of Atmospheric Data through Machine LearningHye-Jin Kim, Sung Min Park, Byung Jin Choi, et al.
Yonsei Medical Journal|June 24, 2022
Machine Learning Model for Classifying the Results of Fetal Cardiotocography Conducted in High-Risk PregnanciesTae Jun Park, Hye Jin Chang, Byung Jin Choi, et al.
Annals of Occupational and Environmental Medicine|November 19, 2019
A study on the characteristics of Maslach Burnout Inventory-General Survey (MBI-GS) of workers in one electronics companyYoung Gon Choi, Byung Jin Choi, Tae Hwi Park, et al.
Scientific Reports|May 19, 2023
Evaluation of rosuvastatin-induced QT prolongation risk using real-world data, in vitro cardiomyocyte studies, and mortality assessmentYeryung Koo, Sung-Ae Hyun, Byung Jin Choi, et al.
Scientific Reports|March 26, 2021
Risk of QT prolongation through drug interactions between hydroxychloroquine and concomitant drugs prescribed in real world practiceByung Jin Choi, Yeryung Koo, Tae Young Kim, et al.
Frontiers in Neuroinformatics|March 31, 2022
Modeling Brain Volume Using Deep Learning-Based Physical Activity Features in Patients With DementiaBumhee Park, Byung Jin Choi, Heirim Lee, et al.
Pageof 1