Publications by authors named "Jiazhi Du"
Biomed Res Int
April 2021
Article Synopsis
- ECG signals are essential for classifying cardiac arrhythmias using machine learning, but datasets often have missing values which complicate classification.
- Multiple methods for estimating these missing values, including Zero, Mean, PCA-based, and RPCA-based methods, are compared in the paper.
- The proposed MKDF-WKNN classification algorithm outperforms existing methods for imbalanced datasets, with RPCA effectively managing missing data in arrhythmia datasets.
