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Tae Joon Jun

Showing results (41-50 of 46) with videos related to

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JMIR Medical Informatics|March 21, 2024
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort StudyHyeram Seo, Imjin Ahn, Hansle Gwon, et al.
Cardiology and Therapy|February 23, 2025
Cardiovascular Outcomes of Early LDL-C Goal Achievement in Patients with Very-High-Risk ASCVDAh-Ram Kim, Ji Ye Han, Minkyoung Kim, et al.
JACC. Asia|November 18, 2024
Association of Lipoprotein(a) With Severe Degenerative Aortic Valve StenosisAh-Ram Kim, Jung-Min Ahn, Do-Yoon Kang, et al.
Scientific Reports|December 17, 2023
Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South KoreaHeejung Choi, Hee Jun Kang, Imjin Ahn, et al.
JMIR Medical Informatics|May 11, 2022
Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and ValidationOsung Kwon, Wonjun Na, Heejun Kang, et al.
JACC. Advances|April 26, 2025
Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep LearningJune-Goo Lee, Tae Joon Jun, Gyujun Jeong, et al.
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Showing results (41-50 of 46) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 46 results.
JMIR Medical Informatics|March 21, 2024
Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort StudyHyeram Seo, Imjin Ahn, Hansle Gwon, et al.
Cardiology and Therapy|February 23, 2025
Cardiovascular Outcomes of Early LDL-C Goal Achievement in Patients with Very-High-Risk ASCVDAh-Ram Kim, Ji Ye Han, Minkyoung Kim, et al.
JACC. Asia|November 18, 2024
Association of Lipoprotein(a) With Severe Degenerative Aortic Valve StenosisAh-Ram Kim, Jung-Min Ahn, Do-Yoon Kang, et al.
Scientific Reports|December 17, 2023
Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South KoreaHeejung Choi, Hee Jun Kang, Imjin Ahn, et al.
JMIR Medical Informatics|May 11, 2022
Electronic Medical Record-Based Machine Learning Approach to Predict the Risk of 30-Day Adverse Cardiac Events After Invasive Coronary Treatment: Machine Learning Model Development and ValidationOsung Kwon, Wonjun Na, Heejun Kang, et al.
JACC. Advances|April 26, 2025
Automated, Standardized, Quantitative Analysis of Cardiovascular Borders on Chest X-Rays Using Deep LearningJune-Goo Lee, Tae Joon Jun, Gyujun Jeong, et al.
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