Heart Disease Identification using Machine Learning

Authors

  • Rohini M  Assistant Professor, Department of Computer Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Keerthika A  UG Scholar, Department of Computer Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Pavithra N  UG Scholar, Department of Computer Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Sandhiya S  UG Scholar, Department of Computer Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Vedha Smirtha S  UG Scholar, Department of Computer Engineering, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamil Nadu, India

Keywords:

Heart diagnosis, Machine Learning, Classifications, Random Forest

Abstract

Heart disease is one of the complex diseases and globally many people suffered from this disease. On time and efficient identification of heart disease plays a key role in healthcare, particularly in the field of cardiology. we proposed an efficient and accurate system to diagnosis heart disease and the system is based on machine learning techniques. The system is developed based on classification algorithms includes Naïve Bayes, decision tree, Random forest Algorithm. After classification, performance criteria including accuracy, precision, F-Score, recall, support is to be calculated. The comparison measure expose that Random Forest is the best classifier for the diagnosis of heart disease. Our experimental results show that accuracy improved over traditional classification techniques. This system is feasible and faster and more accurate for diagnosis of heart disease.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2021-03-30

Issue

Volume 8, Issue 2, November-December-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Rohini M, Keerthika A, Pavithra N, Sandhiya S, Vedha Smirtha S "Heart Disease Identification using Machine Learning" International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 8, Issue 2, pp.166-170, November-December-2021.