Prediction of heart disease using machine learning

  • Unique Paper ID: 149970
  • Volume: 7
  • Issue: 2
  • PageNo: 177-180
  • Abstract:
  • The prosperous test of information mining in exceptionally obvious fields like promoting, e-business, and retail has prompted its application in different divisions and enterprises. Medicinal services is being found among these territories. There is an extravagance of information accessible inside the social insurance frameworks. In any case, there is a shortage of auxiliary investigation execute to discover obnubilated connections in information. This exploration expects to give an itemized depiction of Naïve Bayes and choice tree classifier that are applied in our examination solidly in the forecast of Heart Disease. Some test has been directed to coordinate the execution of prescient information handling strategy on a proportional dataset, and in this way the result uncovers that bring Tree beats over Bayesian assignment.

Copyright & License

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.

BibTeX

@article{149970,
        author = {Vishal Kumar},
        title = {Prediction of heart disease using machine learning},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {2},
        pages = {177-180},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=149970},
        abstract = {The prosperous test of information mining in exceptionally obvious fields like promoting, e-business, and retail has prompted its application in different divisions and enterprises. Medicinal services is being found among these territories. There is an extravagance of information accessible inside the social insurance frameworks. In any case, there is a shortage of auxiliary investigation execute to discover obnubilated connections in information. This exploration expects to give an itemized depiction of Naïve Bayes and choice tree classifier that are applied in our examination solidly in the forecast of Heart Disease. Some test has been directed to coordinate the execution of prescient information handling strategy on a proportional dataset, and in this way the result uncovers that bring Tree beats over Bayesian assignment.},
        keywords = {Data mining, Heart Disease Prediction, Naïve Bayes Classifier, Decision tree Classifier},
        month = {},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 7
  • Issue: 2
  • PageNo: 177-180

Prediction of heart disease using machine learning

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