Heart Disease Prediction Using Machine Learning

Authors

  • Sanket Bhujade Department of Computer Engineering St. Vincent Pallotti College of Engg & Tech
  • Dr. Samir Ajani Department of Computer Engineering St. Vincent Pallotti College of Engg & Tech
  • Shivam Pandey Department of Computer Engineering St. Vincent Pallotti College of Engg & Tech
  • Yash Bokade Department of Computer Engineering St. Vincent Pallotti College of Engg & Tech

Keywords:

coronary heart disease, peripheral arterial disease, aortic disease

Abstract

The human heart is among the body's most vital organs. For living a healthy life, it is very important to make our hearts healthy. Diagnosis and prediction of heart disease is very difficult and complicated. It requires more perfection and accuracy to predict any result. In the modern era, we can predict heart disease with the use of various technologies and models. Machine learning is one of the best modules to use to predict heart disease. Machine learning is one of the branches of the artificial intelligence that gives the more accurate outcomes. The proposed work predicts the health of the heart disease by performing different algorithms like K-NearestNeighbour, random forest, and logistic regression So the given paper gives the information about the project that we create and also tells which algorithm predicts heart disease more accurately.

References

Mrs. G. Pranitha

Assistant professor

Department of computer science and engineering

Anil neerukonda institute of technology and sciences

(Ugc autonomous)

https://news.abplive.com/science/world-heart-day-2022-70-of-heart-attack-deaths-last-year-occurred-in-30-60-age-group-1555818.

1Rishabh Magar, 2Rohan Memane, 3Suraj Raut 1Prof. V. S. Rupnar 1Computer Department, 1MMCOE, Pune, India.

https://www.mastersindatascience.org/learning/machine-learning-algorithms/logistic-regression/#:~:text=There%20are%20three%20main%20types,%3A%20binary%2C%20multinomial%20and%20ordinal.

https://towardsdatascience.com/k-nearest-neighbors-knn-how-to-make-quality-predictions-with-supervised-learning-d5d2f326c3c2

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Published

29-04-2023

How to Cite

Sanket Bhujade, Dr. Samir Ajani, Shivam Pandey, & Yash Bokade. (2023). Heart Disease Prediction Using Machine Learning. International Journal for Research Publication and Seminar, 14(3), 133–140. Retrieved from https://jrps.shodhsagar.com/index.php/j/article/view/482

Issue

Vol. 14 No. 3 (2023): Vol 14 | Issue 3 | NCASIT 2023

Section

Original Research Article

License

Creative Commons License

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