Enhancing Heart Disease Prediction Through KBEST-PCA Fusion Feature Selection and Ensemble Modeling With Gaussian Naive Bayes Boosting

Dhivya P; Sangavi N; Akashprabu A C; Anooskavin G

doi:10.36948/ijfmr.2023.v05i04.4378

Enhancing Heart Disease Prediction Through KBEST-PCA Fusion Feature Selection and Ensemble Modeling With Gaussian Naive Bayes Boosting

Author(s)	Dhivya P, Sangavi N, Akashprabu A C, Anooskavin G
Country	India
Abstract	Heart disease is a prevalent health condition with significant implications for patient health and well-being. Accurate and timely diagnosis plays a crucial role in effective treatment and management. In this study, we propose a combined approach using SelectKBest, Gaussian Naive Bayes (GNB), and Gradient Boosting Machines (GBM) to develop a robust predictive model for heart disease diagnosis. The SelectKBest algorithm is employed to identify the most informative features from the Statlog Heart Disease dataset. Statistical measures such as chi-squared test are utilized to select the top K features that exhibit the strongest associations with the target variable. The selected features are then used to train a GNB classifier, capturing the probabilistic relationships between the features and the diagnosis of heart disease. Predictions generated from the GNB model are combined with the original features, creating an extended feature matrix. Subsequently, a GBM ensemble model is trained on the extended feature matrix, leveraging the sequential combination of weak learners to improve the overall predictive performance. To evaluate the effectiveness of the proposed approach, extensive experiments are conducted on the Statlog Heart Disease dataset. Performance metrics including accuracy, precision, recall, and F1 score are used to compare the combined SelectKBest-GNB-GBM approach against individual classifiers and existing methods.
Keywords	Heart disease diagnosis, SelectKBest, Gaussian Naive Bayes, Gradient Boosting Machines, ensemble learning, feature selection.
Field	Medical / Pharmacy
Published In	Volume 5, Issue 4, July-August 2023
Published On	2023-07-19
Cite This	Enhancing Heart Disease Prediction Through KBEST-PCA Fusion Feature Selection and Ensemble Modeling With Gaussian Naive Bayes Boosting - Dhivya P, Sangavi N, Akashprabu A C, Anooskavin G - IJFMR Volume 5, Issue 4, July-August 2023. DOI 10.36948/ijfmr.2023.v05i04.4378
DOI	https://doi.org/10.36948/ijfmr.2023.v05i04.4378
Short DOI	https://doi.org/gshnbc

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Enhancing Heart Disease Prediction Through KBEST-PCA Fusion Feature Selection and Ensemble Modeling With Gaussian Naive Bayes Boosting

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