Efficient Prediction of Heart Disease using Bagging
Author(s):
MERIN MARY KURIAN, SHAMNA MOL B, CHINNU THOMAS, ABHIJITH KUMAR, Raveendran R
Keywords:
Bagging, weka tool, classification.
Abstract
Heart Disease or Cardiovascular disorder is considered to be the most threatening condition today that can lead to death most often. Many scholars reveal that the number of people losing life due to heart disease is increasing dramatically. Therefore, it is necessary to predict the heart disease at the earliest. Data mining techniques play the best role in mining different data of the patient, thereby predicting the disease correctly.
Article Details
Unique Paper ID: 148088

Publication Volume & Issue: Volume 5, Issue 12

Page(s): 369 - 372
Article Preview & Download


Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 10 Issue 10

Last Date for paper submitting for March Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews