H. Kang

发表

The modified balloon crush technique

Seung‐Jung Park, Young-Hak Kim, Duk‐Woo Park, 2018, Medicine.

RIDAB: Electronic medical record-integrated real world data platform for predicting and summarizing interactions in biomedical research from heterogeneous data resources

H. Kang, Tae Joon Jun, Young-Hak Kim, 2022, Comput. Methods Programs Biomed..

Fully Automatic Coronary Calcium Score Software Empowered by Artificial Intelligence Technology: Validation Study Using Three CT Cohorts

June-Goo Lee, D. Yang, H. Koo, 2021, Korean journal of radiology.

Randomized Trial Evaluating Percutaneous Coronary Intervention for the Treatment of Chronic Total Occlusion: The DECISION-CTO Trial

Seung‐Jung Park, S. Yun, Sang-Wook Lim, 2019, Circulation.

Aortic annulus sizing in bicuspid and tricuspid aortic valves using CT in patients with surgical aortic valve replacement

D. Yang, J. Choe, H. Koo, 2021, Scientific Reports.

Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT

June-Goo Lee, D. Yang, Y. Suh, 2022, European Radiology.

Heterogeneous graph construction and HinSAGE learning from electronic medical records

H. Kang, Tae Joon Jun, Young-Hak Kim, 2022, Scientific Reports.

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 Validation

Seung‐Jung Park, D. Yang, Young-Hak Kim, 2020, JMIR medical informatics.

Ischemic burden assessment of myocardial perfusion CT, compared with SPECT using semi-quantitative and quantitative approaches.

Young-Hak Kim, H. Hwang, H. Koo, 2019, International journal of cardiology.

Deep learning segmentation of major vessels in X-ray coronary angiography

Su Yang, Lae-Jeong Park, Hyeonkyeong Yang, 2019, Scientific Reports.

Fully automatic coronary calcium scoring in non-ECG-gated low-dose chest CT: comparison with ECG-gated cardiac CT

June-Goo Lee, Y. Suh, Cherry Kim, 2022, European Radiology.

CardioNet: a manually curated database for artificial intelligence-based research on cardiovascular diseases

Tae Joon Jun, Wonjun Na, Jungsun Yoo, 2021, BMC Medical Informatics and Decision Making.

Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study

H. Kang, Tae Joon Jun, Young-Hak Kim, 2021, JMIR medical informatics.

Cardiovascular Event Rates in Statin-Treated Korean Patients with Cardiovascular Disease: Estimates from a Real-World Population Using Electronic Medical Record Data

Ju Hyeon Kim, O. Kwon, H. Kang, 2021, Cardiovascular Drugs and Therapy.

Machine Learning–Based Hospital Discharge Prediction for Patients With Cardiovascular Diseases: Development and Usability Study (Preprint)

H. Kang, Tae Joon Jun, Young-Hak Kim, 2021 .

Machine learning models to predict the warfarin discharge dosage using clinical information of inpatients from South Korea

J. Roh, O. Kwon, H. Kang, 2023, Scientific reports.

Prediction of hospitalization and waiting time within 24 hours of emergency department patients with unstructured text data

H. Kang, Tae Joon Jun, Yunha Kim, 2023, Health Care Management Science.

Forecasting Hospital Room and Ward Occupancy Using Static and Dynamic Information Concurrently: Retrospective Single-Center Cohort Study

H. Kang, Tae Joon Jun, Yunha Kim, 2023, JMIR medical informatics.