Research Article Open Access

An Integrated Machine Learning Model for Heart Disease Classification and Categorization

Srikanth Meda1 and Raveendrababu Bhogapathi2
  • 1 Department of Computer Science, Acharya Nagarjuna University, Guntur, Andhra Pradesh, India
  • 2 Department of Computer Sciences, Sree Vidyanikethan Engineering College, Tirupati, Andhra Pradesh, India

Abstract

Progressions in the coordination among the machine learning algorithms, helped to achieve high accuracy and reliability in decision-making systems. Due to the impact and importance of heart diseases in real life, designing the efficient heart disease prediction model become a pivotal aspect today. Former research scholars applied the popular supervised machine learning models like Decision Trees, Naïve Bayes, ANN's, and FNN's to implement the heart disease prediction systems. As the heart disease prediction process is a multi-layered operation, each layer is expecting the optimal machine learning algorithm and the coordination among the algorithms of different layers to minimize the errors in prediction results. In this study, we proposed a new fuzzy neural-genetic algorithm to design an efficient and accurate heart disease prediction system. In our prediction system, we integrated the genetic algorithm, neural networks, and fuzzy logic technologies for training, classification, and categorization processes respectively. Experimental evaluations of Cleveland's heart disease dataset proved that the proposed fuzzy neural-genetic algorithm-based prediction system achieved high accuracy and low error rate when compared with the other machine learning models.

Journal of Computer Science
Volume 18 No. 4, 2022, 257-265

DOI: https://doi.org/10.3844/jcssp.2022.257.265

Submitted On: 29 July 2021 Published On: 19 April 2022

How to Cite: Meda, S. & Bhogapathi, R. (2022). An Integrated Machine Learning Model for Heart Disease Classification and Categorization. Journal of Computer Science, 18(4), 257-265. https://doi.org/10.3844/jcssp.2022.257.265

  • 2,167 Views
  • 988 Downloads
  • 0 Citations

Download

Keywords

  • Fuzzy Neural Genetic Algorithm
  • Heart Disease Prediction
  • Cleveland’s Heart Disease Dataset
  • Machine Learning Classifiers