A hybrid machine learning approach using particle swarm optimization for cardiac arrhythmia classification.
Journal:
International journal of cardiology
PMID:
40222659
Abstract
BACKGROUND: Precise and rapid identification of cardiac arrhythmias is paramount for delivering optimal patient care. Machine learning (ML) techniques hold significant promise for classifying arrhythmias, yet achieving peak performance often necessitates refined hyperparameter tuning.