Automated heart disease prediction using improved explainable learning-based technique

Bizimana, Pierre Claver; Zhang, Zuping; Hounye, Alphonse Houssou; Asim, Muhammad; Hammad, Mohamed; El-Latif, Ahmed A. Abd

doi:10.1007/s00521-024-09967-6

Neural Comput & Applic

2024

DOI: 10.1007/s00521-024-09967-6

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Automated heart disease prediction using improved explainable learning-based technique

Pierre Claver Bizimana,

Zuping Zhang,

Alphonse Houssou Hounye

et al.

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Cited by 2 publications

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Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

Mahmood,

Rehman,

Saba

et al. 2024

IEEE Access

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Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

Mahmood,

Rehman,

Saba

et al. 2024

IEEE Access

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Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction

Mienye,

Jere

2024

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Recent advances in machine learning (ML) have shown great promise in detecting heart disease. However, to ensure the clinical adoption of ML models, they must not only be generalizable and robust but also transparent and explainable. Therefore, this research introduces an approach that integrates the robustness of ensemble learning algorithms with the precision of Bayesian optimization for hyperparameter tuning and the interpretability offered by Shapley additive explanations (SHAP). The ensemble classifiers considered include adaptive boosting (AdaBoost), random forest, and extreme gradient boosting (XGBoost). The experimental results on the Cleveland and Framingham datasets demonstrate that the optimized XGBoost model achieved the highest performance, with specificity and sensitivity values of 0.971 and 0.989 on the Cleveland dataset and 0.921 and 0.975 on the Framingham dataset, respectively.

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Automated heart disease prediction using improved explainable learning-based technique

Cited by 2 publications

References 59 publications

Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

Enhancing Coronary Artery Disease Prognosis: A Novel Dual-Class Boosted Decision Trees Strategy for Robust Optimization

Optimized Ensemble Learning Approach with Explainable AI for Improved Heart Disease Prediction

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