Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{148088,
        author = {MERIN MARY KURIAN and SHAMNA MOL B and CHINNU THOMAS and ABHIJITH KUMAR and Raveendran R},
        title = {Efficient Prediction of Heart Disease using Bagging},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {5},
        number = {12},
        pages = {369-372},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=148088},
        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.},
        keywords = {Bagging, weka tool, classification.},
        month = {},
        }