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Biomedical Data Science Lab

About US

Our research interests are developing analytics methodologies based on statistics and machine learning in biomedical data science; and applying various methods to real-world data, including electronic medical records (EMR), clinical data warehouse (CDW), common data model (CDM), National Health Insurance Bigdata, Korea National Health and Nutrition Examination Survey (KNHANES), atmospheric & environment data from Korea Meteorological Administration. Currently we focus on clinical predictive modeling and real-world research & trial designs.

What We Do


Predictive Modeling


Real-world & Big Data Analytics


Data Visualization



​서울특별시 강남구 일원로 115 삼성생명빌딩 A동 8층 삼성융합의과학원

Samsung Advanced Institute for Health Sciences & Technology (SAIHST),

8F A-dong Samsung Life Insurance Co. Bldg, 115, Ilwon-ro, Gangnam-gu, Seoul, South Korea.

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