Yunha Kim

发表

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..

Heterogeneous graph construction and HinSAGE learning from electronic medical records

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

Use and abuse of fecal occult blood tests: a community hospital experience

Nasir Saleem, S. Pandit, Abdullahi A. Ahmed, 2019, BMC Gastroenterology.

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.

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.