An Active Sampling Strategy for Stroke Prediction Based on Incomplete and Class Imbalanced Dataset
Name
Yike Wang
Major
Data Science
Class
2024
About
Yike Wang is a data science student at DKU.
Signature Work Project Overview
The project presents an innovative approach to predicting stroke outcomes by addressing the challenges of class imbalance and missing data in medical datasets. It combines advanced data imputation techniques with an active sampling strategy to enhance the predictive accuracy of stroke prediction models.