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Predication of Arrhythmia Disease using Data Mining Classification Algorithm with Feature Selection Techniques

Author(s):

Sunil Kumar Saini , RIET College Jaipur; Mr. Dinesh Swami, RIET College Jaipur; Dr. Saroj Hiranwal, RIET College Jaipur

Keywords:

Data Mining, Arrhythmia Disease

Abstract

This Paper aimed to find Which classification algorithm has the highest accuracy for the medical dataset arrhythmia before feature selection, which feature selection algorithm among filter and wrapper gives the best result, is feature selection technique of preprocessing improves the performance accuracy of arrhythmia dataset and how accurate is mining technique in predicting the person suffering from arrhythmia disease.

Other Details

Paper ID: IJSRDV9I90057
Published in: Volume : 9, Issue : 9
Publication Date: 01/12/2021
Page(s): 110-124

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