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Wonjun Na

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

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Korean Circulation Journal|December 20, 2019
Machine Learning: a New Opportunity for Risk PredictionOsung Kwon, Wonjun Na, Young Hak Kim
Journal of Medical Internet Research|February 9, 2019
Is Blockchain Technology Suitable for Managing Personal Health Records? Mixed-Methods Study to Test FeasibilityYu Rang Park, Eunsol Lee, Wonjun Na, et al.
ACS Applied Materials & Interfaces|May 6, 2016
Lithium Dendrite Suppression with UV-Curable Polysilsesquioxane Separator BindersWonjun Na, Albert S Lee, Jin Hong Lee, et al.
Medicine|May 31, 2019
Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unitDong Kyu Oh, Wonjun Na, Yu Rang Park, et al.
Cardiovascular Drugs and Therapy|October 8, 2021
Cardiovascular Event Rates in Statin-Treated Korean Patients with Cardiovascular Disease: Estimates from a Real-World Population Using Electronic Medical Record DataOsung Kwon, Wonjun Na, Jaehee Hur, et al.
Cardiovascular Drugs and Therapy|November 18, 2021
Correction to: Cardiovascular Event Rates in Statin‑Treated Korean Patients with Cardiovascular Disease: Estimates from a Real‑World Population Using Electronic Medical Record DataOsung Kwon, Wonjun Na, Jaehee Hur, et al.
Medical & Biological Engineering & Computing|November 15, 2018
Automated detection of vulnerable plaque in intravascular ultrasound imagesTae Joon Jun, Soo-Jin Kang, June-Goo Lee, et al.
Nano Letters|June 23, 2012
Nanoscale magnetism control via surface and exchange anisotropy for optimized ferrimagnetic hysteresisSeung-Hyun Noh, Wonjun Na, Jung-Tak Jang, et al.
BMC Medical Informatics and Decision Making|January 29, 2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseasesImjin Ahn, Wonjun Na, Osung Kwon, 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.
Pageof 1

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

Sort By:
Pageof 1
Korean Circulation Journal|December 20, 2019
Machine Learning: a New Opportunity for Risk PredictionOsung Kwon, Wonjun Na, Young Hak Kim
Journal of Medical Internet Research|February 9, 2019
Is Blockchain Technology Suitable for Managing Personal Health Records? Mixed-Methods Study to Test FeasibilityYu Rang Park, Eunsol Lee, Wonjun Na, et al.
ACS Applied Materials & Interfaces|May 6, 2016
Lithium Dendrite Suppression with UV-Curable Polysilsesquioxane Separator BindersWonjun Na, Albert S Lee, Jin Hong Lee, et al.
Medicine|May 31, 2019
Medical resource utilization patterns and mortality rates according to age among critically ill patients admitted to a medical intensive care unitDong Kyu Oh, Wonjun Na, Yu Rang Park, et al.
Cardiovascular Drugs and Therapy|October 8, 2021
Cardiovascular Event Rates in Statin-Treated Korean Patients with Cardiovascular Disease: Estimates from a Real-World Population Using Electronic Medical Record DataOsung Kwon, Wonjun Na, Jaehee Hur, et al.
Cardiovascular Drugs and Therapy|November 18, 2021
Correction to: Cardiovascular Event Rates in Statin‑Treated Korean Patients with Cardiovascular Disease: Estimates from a Real‑World Population Using Electronic Medical Record DataOsung Kwon, Wonjun Na, Jaehee Hur, et al.
Medical & Biological Engineering & Computing|November 15, 2018
Automated detection of vulnerable plaque in intravascular ultrasound imagesTae Joon Jun, Soo-Jin Kang, June-Goo Lee, et al.
Nano Letters|June 23, 2012
Nanoscale magnetism control via surface and exchange anisotropy for optimized ferrimagnetic hysteresisSeung-Hyun Noh, Wonjun Na, Jung-Tak Jang, et al.
BMC Medical Informatics and Decision Making|January 29, 2021
CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseasesImjin Ahn, Wonjun Na, Osung Kwon, 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.
Pageof 1