A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction

Authors

  • Aatiq Ali  CSE, Valia Koonambaikulathamma College of Engineering and Technology, APJ Abdul Kalam Technological University, Thiruvananthapuram, Kerala, India
  • Dr. L C Manikandan  CSE, Valia Koonambaikulathamma College of Engineering and Technology, APJ Abdul Kalam Technological University, Thiruvananthapuram, Kerala, India

DOI:

https://doi.org/10.32628/CSEIT228686

Keywords:

Learning, KNN, Decision Tree, Logistic Regression, SVM, Random Forest, Native Bayers

Abstract

This work concentrates on different machine learning techniques that can be applied for the early diagnosis of heart diseases. Different Machine Learning Algorithms like KNN (K-Nearest Neighbour), Decision tree, Logistic Regression, Support Vector Machine, Random Forest and Naïve Bayes are used for prediction and detecting heart disease. The main purpose of this survey is to pay our attention towards machine learning techniques for diagnosing heart diseases in an efficient and effective manner.

References

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Published

2022-12-30

Issue

Section

Research Articles

How to Cite

[1]
Aatiq Ali, Dr. L C Manikandan, " A Review on Machine Learning-Based Algorithms for Heart Disease Diagnosis and Prediction " International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 8, Issue 6, pp.606-611, November-December-2022. Available at doi : https://doi.org/10.32628/CSEIT228686