Electrocardiogram Abnormality Classification From Summary Statistics With Patient‐Level Validation and Process‐Focused Evaluation
ABSTRACT Background Machine learning (ML) applications in clinical medicine are vulnerable to data leakage, particularly temporal leakage from post‐diagnostic features and patient‐level leakage from improper partitioning, compromising electrocardiogram (ECG) abnormality detection systems. This study addresses these vul...