Data Science Researcher
- Collaborated with the Department of Medical Informatics to analyze stroke prediction data from the MIMIC-IV andTaiwan Health Insurance databases- Applied machine learning techniques including Random Forest, SVM, and XGBoost to develop a stroke prediction model with high accuracy- Addressed data imbalance using hybrid sampling, achieving an AUC of 0.84 and accuracy between 73-77% for different timeframes