Multi-Modal Feature Integration in Machine Learning Predictions for Cardiovascular Diseases

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Nandhini G
Santosh K. Balivada

Abstract

Early detection and prevention of cardiovascular illnesses rely heavily on phonocardiogram (PCG) and electrocardiogram (ECG). A novel multi-modal machine learning strategy based on ECG and PCG data is presented in this work for predicting cardiovascular diseases (CVD). ECG and PCG features are combined for optimal feature subset selection using a genetic algorithm (GA). Then, machine learning classifiers are implemented to do the classification of abnormal and normal signals

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How to Cite
G, N. ., & Balivada, S. K. . (2023). Multi-Modal Feature Integration in Machine Learning Predictions for Cardiovascular Diseases. International Journal of Health Technology and Innovation, 2(03), 15–18. https://doi.org/10.60142/ijhti.v2i03.03
Section
Research Article