CardioForest: An Explainable Ensemble Learning Model for Automatic Wide QRS Complex Tachycardia Diagnosis from ECG

arXiv — cs.LG•Thursday, November 6, 2025 at 5:00:00 AM

CardioForest: An Explainable Ensemble Learning Model for Automatic Wide QRS Complex Tachycardia Diagnosis from ECG

A new study introduces CardioForest, an innovative ensemble machine learning model designed to automatically diagnose Wide QRS Complex Tachycardia (WCT) from ECG signals. This advancement is significant as it not only enhances diagnostic accuracy but also prioritizes interpretability through Explainable AI. By integrating various ensemble learning techniques, including optimized Random Forest, XGBoost, and LightGBM, this model could revolutionize how healthcare professionals detect and treat WCT, ultimately improving patient outcomes.

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