Machine Learning-Based Imputation for Breast Cancer Prediction: Evaluating Performance Under Complex Missing Data Mechanisms
This study systematically compared statistical and machine learning-based imputation methods using two publicly available breast cancer datasets representing complementary clinical settings to highlight the importance of considering dataset characteristics, missing-data mechanisms, and the intended analytical objective when selecting imputation methods.