Multi-center Surgical Mortality & ICU Admission Prediction
Development of 30-day mortality and ICU admission prediction models using perioperative data from four major hospitals in South Korea.
Period: 2020.09 – 2022.06
Affiliation: Multi-center (Seoul National University Hospital, Asan Medical Center, Seoul Boramae Hospital, Ewha Womans University Mokdong Hospital)
Summary: Developed 30-day mortality prediction and ICU admission prediction models using data from non-cardiac surgery patients collected across four hospitals.
Key Responsibilities:
- Designed AI research inclusion & exclusion criteria and study design in collaboration with clinicians
- Data cleaning (deduplication, special character removal via regex, QC), EDA (correlation analysis, risk factor analysis via logistic regression)
- Data imbalance handling (under-sampling, ROSE, SMOTE, sample weighting)
- Developed Gradient Boosting Machine and ANN-based models; evaluated generalization performance by hospital scale
Outcome: 1 SCI publication, Excellence Award at research presentation