Cardiorespiratory Fitness Prediction in Korean Population
Development of a CRF prediction model for healthy Korean adults using health screening and exercise stress test data from Samsung Medical Center.
Period: 2020.05 – 2021.09
Affiliation: Samsung Medical Center
Summary: Developed a cardiorespiratory fitness (CRF) prediction model for the Korean population using data from health screening recipients who underwent regular checkups and exercise stress tests at Samsung Medical Center.
Key Responsibilities:
- Designed inclusion & exclusion criteria based on literature review
- Built analysis database by querying and merging data from health screening center DB and CDW
- Data cleaning, EDA, and derived variable generation (lab data, questionnaire data, exercise stress test data)
- Developed models using Linear Regression, Elastic Net, Random Forest, and Gradient Boosting Machine
- Performed comparative study and selected Linear Regression-based formula as the final model
- Validated estimated CRF as a significant predictor of mortality via Cox Proportional Hazard Model (dose-response relationship)
Outcome: 2 SCI publications