Education

• (2022.09 ~ ) M.S. Interdisciplinary Program of Medical Informatics, Seoul National University, Seoul, Korea

Research Experiences

• (2021.11 ~ 2024.08) Intern Researcher, Bio-Medical Informatics Lab, Seoul National University Hospital, Seoul, Korea

Publications

1. Kwon, D., Jung, Y. M., Lee, H. C., Kim, T. K., Kim, K., Lee, G., ... & Lee, S. M. (2024). Non-invasive prediction of massive transfusion during surgery using intraoperative hemodynamic monitoring data. Journal of biomedical informatics, 156, 104680.

2. Kim, J., Yang, H. L., Kim, S. H., Kim, S., Lee, J., & Ryu, J. (2024). Deep learning-based long-term risk evaluation of incident type 2 diabetes using electrocardiogram in a non-diabetic population: a retrospective, multicentre study. EClinicalMedicine. 2024; 68: 102445.

3. Kim, J. S., Kwon, D., Kim, K., Lee, S. H., Lee, S. B., Kim, K., ... & Kim, Y. T. (2024). Machine learning-based prediction of pulmonary embolism to reduce unnecessary computed tomography scans in gastrointestinal cancer patients: a retrospective multicenter study. Scientific Reports, 14(1), 25359.

4. Kwon, D. Y., Jung, Y. M., Lee, S. B., Kim, T., Kim, K., Bae, J., ... & Lee, H. C. (2023). Real-time prediction of massive transfusion during cesarean section using intraoperative hemodynamic monitoring data. American Journal of Obstetrics & Gynecology, 228(1), S150-S151.

Awards

• (2020.10) Grand Award in DCC2020 - National Information Society Agency (NIA)