BagMOOV: A novel ensemble for heart disease prediction bootstrap aggregation with multi-objective optimized voting

Australasian Physical & Engineering Sciences in Medicine
Saba BashirFarhan Hassan Khan

Abstract

Conventional clinical decision support systems are based on individual classifiers or simple combination of these classifiers which tend to show moderate performance. This research paper presents a novel classifier ensemble framework based on enhanced bagging approach with multi-objective weighted voting scheme for prediction and analysis of heart disease. The proposed model overcomes the limitations of conventional performance by utilizing an ensemble of five heterogeneous classifiers: Naïve Bayes, linear regression, quadratic discriminant analysis, instance based learner and support vector machines. Five different datasets are used for experimentation, evaluation and validation. The datasets are obtained from publicly available data repositories. Effectiveness of the proposed ensemble is investigated by comparison of results with several classifiers. Prediction results of the proposed ensemble model are assessed by ten fold cross validation and ANOVA statistics. The experimental evaluation shows that the proposed framework deals with all type of attributes and achieved high diagnosis accuracy of 84.16 %, 93.29 % sensitivity, 96.70 % specificity, and 82.15 % f-measure. The f-ratio higher than f-critical and p value less than 0...Continue Reading

Citations

Aug 2, 2017·Health Informatics Journal·Ilham KadiJosé Luis Fernandez-Aleman
Jul 22, 2019·Journal of Clinical Medicine·Meghana PadmanabhanHien Van Nguyen
Oct 27, 2017·Journal of Healthcare Engineering·MadhuSudana Rao NalluriDiptendu Sinha Roy
Dec 15, 2020·Clinical Physiology and Functional Imaging·Antoine JaminAnne Humeau-Heurtier
Feb 5, 2021·Journal of Biomedical Informatics·Shahrokh AsadiMichael W Kattan
Feb 27, 2021·BMC Medical Informatics and Decision Making·Qi Zhenya, Zuoru Zhang
Sep 13, 2020·Journal of Biomedical Informatics·Hong-Jun YoonGeorgia D Tourassi
Apr 6, 2018··Alberto Palacios Pawlovsky, Alberto Palacios Pawlovsky

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