An Improved Framework for Detecting Thyroid Disease Using Filter-Based Feature Selection and Stacking Ensemble

Obaido, George; Achilonu, Okechinyere; Ogbuokiri, Blessing; Amadi, Chimeremma Sandra; Habeebullahi, Lawal; Ohalloran, Tony; Chukwu, Chidozie Williams; Mienye, Ebikella Domor; Aliyu, Mikail; Fasawe, Olufunke; Modupe, Ibukunola Abosede; Omietimi, Erepamo Job; Aruleba, Kehinde

doi:10.1109/access.2024.3418974

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2024

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Cited by 4 publications

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Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Mienye,

Jere

2024

IEEE Access

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Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Mienye,

Jere

2024

IEEE Access

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Early Prediction of Thyroid Cancer using Hybrid Combination of Swarm Optimization and Meta Classifier based Machine Learning Algorithm

Kumar Hegde,

Hegde,

Murugan

2024

2024 Second International Conference on Intelligent Cyber Physical Systems and Internet of Things (ICoICI)

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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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An Improved Framework for Detecting Thyroid Disease Using Filter-Based Feature Selection and Stacking Ensemble

Cited by 4 publications

References 103 publications

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions

Early Prediction of Thyroid Cancer using Hybrid Combination of Swarm Optimization and Meta Classifier based Machine Learning Algorithm

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

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