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Machine Learning Based Optimal Data Classification Model for Heart Disease Prediction

  • R. BhuvaneeswariEmail author
  • P. Sudhakar
  • R. P. Narmadha
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 38)

Abstract

Heart disease (HD) is a greatest reason for high death rate among the number of inhabitants present on the planet. Identification of HD is viewed as a significant subject in the area of medical data examination. The measure of data in the medicinal field is tremendous. Data mining transforms the huge accumulation of actual medical data into useful data for making decisions. In this paper, prediction models were created by utilizing the ML technique called J48 classifier. In order to enhance the results further, a correlation based feature selection (CFS) model is applied to perform the feature selection process. Test results demonstrate that the HD prediction model shows excellent results over the compared methods.

Keywords

CFS J48 Feature selection Prediction 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • R. Bhuvaneeswari
    • 1
    Email author
  • P. Sudhakar
    • 1
  • R. P. Narmadha
    • 2
  1. 1.Department of Computer Science and EngineeringAnnamalai UniversityChidambaramIndia
  2. 2.Department of CSESri Shakthi Institute of Engineering and TechnologyCoimbatoreIndia

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