Heart Disease Prediction Using Machine Learning

Authors

  • Lingala Rajeswar Reddy Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
  • Gogula Hari Bhanu Prasanth Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
  • Raghavendra K Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
  • Sunkara VenkatGirish Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author
  • Dr. P VijayaKarthik Computer Science and Engineering, R. L. Jalappa Institute of Technology, Doddaballapura, Bengaluru, India Author

DOI:

https://doi.org/10.32628/IJSRCSEIT

Keywords:

Clinical Data, Visual Analytics, Machine Learning

Abstract

The prediction using the alloy of clinical data. The exists of the heart disease of prediction using for the data of age, sex, chest pain, trestbps. For medical purposes, the heart sickness is use of difficult ventures. We develop the neural network of clinical features of data. For medical, purpose of the heart sickness of the data. A known range of available datasets leads to numerous options with the help of analyzing visual analytics.

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References

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Published

12-05-2024

Issue

Section

Research Articles

How to Cite

[1]
Lingala Rajeswar Reddy, Gogula Hari Bhanu Prasanth, Raghavendra K, Sunkara VenkatGirish, and Dr. P VijayaKarthik, “Heart Disease Prediction Using Machine Learning”, Int. J. Sci. Res. Comput. Sci. Eng. Inf. Technol, vol. 10, no. 3, pp. 167–172, May 2024, doi: 10.32628/IJSRCSEIT.

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