S. Amutha*, J. Raja Sekar
Intelligent Automation & Soft Computing, Vol.36, No.2, pp. 1863-1880, 2023, DOI:10.32604/iasc.2023.028903
Abstract In this digital era, Cardio Vascular Disease (CVD) has become the leading cause of death which has led to the mortality of 17.9 million lives each year.
Earlier Diagnosis of the people who are at higher risk of CVDs helps them to
receive proper treatment and helps prevent deaths. It becomes inevitable to propose a solution to predict the CVD with high accuracy. A system for predicting
Cardio Vascular Disease using Deep Neural Network with Binarized Butterfly
Optimization Algorithm (DNN–BBoA) is proposed. The BBoA is incorporated
to select the best features. The optimal features are fed to the deep neural… More >
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