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Collaborations and top research areas from the last five years
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Actigraphy-based step analysis for the detection of depressed mood: An explainable machine learning approach
Kim, J. W., Lee, T., Lim, B., Park, S. H., Park, J. H., Jeong, I., Park, K., Kang, H. J., Jeon, E., Kim, S. W., Jhon, M., Lee, H. & Kim, J. M., 2026 Jan 1, In: Journal of Affective Disorders. 392, 120104.Research output: Contribution to journal › Article › peer-review
4 Link opens in a new tab Citations (Scopus) -
A Selective RAG-Enhanced Hybrid ML-LLM Framework for Efficient and Explainable Fatigue Prediction Using Wearable Sensor Data
Ha, S., Lee, T., Seo, H., Yoon, S. & Lee, H., 2026 Jan, In: Bioengineering. 13, 1, 58.Research output: Contribution to journal › Article › peer-review
Open Access -
Influence of concurrent use of conventional and E-cigarettes on rheumatoid arthritis risk among Korean adults: Findings from KNHANES 2015–2021
Lee, S. Y. & Lee, H., 2026 Feb, In: Preventive Medicine Reports. 62, 103362.Research output: Contribution to journal › Article › peer-review
Open Access -
Multimodal machine learning models for predicting remission in major depressive disorder using clinical data, blood biomarkers, and DNA methylation
Ha, S., Kang, H. J., Lee, T., Kang, K. M., Kim, J. M. & Lee, H., 2026 Jun 1, In: Journal of Affective Disorders. 402, 121259.Research output: Contribution to journal › Article › peer-review
Open Access -
PGVDA: a pathway-aggregated genetic dosage framework for interpretable disease classification using machine learning
Shon, S., Ko, Y., Yoon, H., Kwak, K. & Lee, H., 2026 Jan 1, In: Briefings in Bioinformatics. 27, 1, bbag025.Research output: Contribution to journal › Article › peer-review
Open Access
Press/Media
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Findings from Korea University College of Medicine in Cancer Reported (Comprehensive validation of machine learning models predicting chemotherapy related electrolyte disorders in a multicenter study)
Oh, W.-O., Park, H. J., Kim, J., Park, H.-T., Kim, J., Park, H., Park, H. & Lee, H.
26/5/5
1 item of Media coverage
Press/Media: Press / Media
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New Science Findings from Korea University College of Medicine Described (Interpretable depressive symptoms screening via statistical reasoning-augmented large language models using wearable and environmental data)
Park, H. J., Park, H.-T., Park, H., Park, H., Lee, H. & Min, J.-S.
26/5/5
1 item of Media coverage
Press/Media: Press / Media
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Findings from Korea University College of Medicine Provides New Data about Science (Dual Component Framework Approach for Automated Nerve Conduction Study Interpretation: Rule-Based Coding and Fine-Tuned Language Model)
Kim, T. G., Park, H. J., Kim, T. S., Kim, T. W., Kim, J., Kim, T.-H., Park, H.-T., Kim, B. J., Kim, T.-W., Kim, T.-H., Kim, J., Park, H., Kim, T., Park, H., Lee, H. & Kim, B.-J.
26/4/24
1 item of Media coverage
Press/Media: Press / Media
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Study Data from Korea University Provide New Insights into Craniotomy (Discriminating Infectious and Non-infectious Fever After Open Craniotomy: a Combined Statistical and Machine Learning Approach)
Kim, J. K., Kim, J.-G., Kim, H. K., Kim, H. S., Kim, H., Kim, H., Kim, J. H., Kim, H. W., Kim, J.-S., Lee, H. & Kim, J.-H.
26/4/22
1 item of Media coverage
Press/Media: Press / Media
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Researchers from Korea University Guro Hospital Report on Findings in Chronic Kidney Disease (Comparison of estimated and measured GFR in pediatric CKD patients transitioning from adolescence to adulthood: results from KNOW-PedCKD)
Kim, H. K., Kim, H. S., Kim, H., Kim, H., Kim, H. W., Cho, H.-W. & Lee, H.
26/4/13
1 item of Media coverage
Press/Media: Press / Media