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What is Ensemble Model for Heart Disease Prediction about?

This document presents an ensemble framework for predicting cardiovascular diseases using machine learning techniques. The proposed model, which incorporates various algorithms such as ExtraTrees Classifier, Random Forest, and XGBoost, achieved an accuracy of 92.34% on a comprehensive dataset. The study emphasizes the importance of early diagnosis of heart diseases to reduce mortality rates and highlights the effectiveness of machine learning in medical predictions.

Author

physics.master0786

Language

EN