Research output per year
Research output per year
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
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Dive into the research topics where Department of Medical Informatics is active. These topic labels come from the works of this organization's members. Together they form a unique fingerprint.
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
Research output
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Analyzing the Current Status of the Telemedicine Pilot Project Using Korean National Health Insurance Service Data
Kim, J. Y., Ha, J., Jung, Y., Seo, S., Kim, Y., Ko, M. J. & Kim, H. S., 2025, In: Journal of Korean Medical Science. 40, 21, e166.Research output: Contribution to journal › Article › peer-review
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A Pilot Study Examining If the Additional Use of a Continuous Glucose Monitoring Is Helpful for Glucose Control in Older Adults
Kim, K. J., Park, Y. S., Sun, E., Jo, E., Shinn, J., Yim, H. W., Kim, C. O. & Kim, H. S., Jun 2025, In: Yonsei Medical Journal. 66, 6, p. 346-353 8 p.Research output: Contribution to journal › Article › peer-review
Open Access -
A Risk Prediction Model (CMC-AKIX) for Postoperative Acute Kidney Injury Using Machine Learning: Algorithm Development and Validation
Min, J. W., Min, J. H., Chang, S. H., Chung, B. H., Koh, E. S., Kim, Y. S., Kim, H. W., Ban, T. H., Shin, S. J., Choi, I. Y. & Yoon, H. E., 2025, In: Journal of Medical Internet Research. 27, e62853.Research output: Contribution to journal › Article › peer-review
Open Access1 Scopus citations
Press/Media
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FDA Accepts Odronextamab BLA Resubmission for R/R Follicular Lymphoma
26/02/25
1 item of Media coverage
Press/Media
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Catholic University of Korea Reports Findings in Acute Kidney Injury (Predicting long-term mortality of patients with postoperative acute kidney injury following noncardiac general anesthesia surgery using machine learning)
Kim, Y. K., Chung, B. H., Koh, E. S., Ban, T. H., Yoon, H. E., Choi, I. Y. & Choi, Y.
23/10/24
1 item of Media coverage
Press/Media