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Research Article

Heart Disease Prediction Using Random Forest Algorithm

S. Ananda Kumar1 L.Priya2
1Department of Computer Science, Sri Kaliswari College, Sivakasi, TamilNadu, India. 2Assistant Professor, Department of Computer Science, Sri Kaliswari College, Sivakasi, TamilNadu, India.

Published Online: March-April 2024

Pages: 115-118

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References

1. Heart Disease Prediction using Machine Learning Techniques, Devansh Shah1. · Samir Patel1 · Santosh Kumar Bharti(2020)
2. Machine learning algorithms using binary classification and multi model ensemble techniques for skin diseases prediction, Vikas
Chaurasia and Saurabh Pal - Int. J. Biomedical Engineering and Technology, Vol. 34, No. 1 (2020)
3. Heart Disease Prediction using Machine Learning and Data Mining, Keshav Srivastava, Dilip Kumar Choubey - International Journal
of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-9 Issue-1 (2020)
4. Improving the Prediction of Heart Failure Patients’ Survival Using SMOTE and Effective Data Mining Techniques - Abid ishaq , Saima
sadiq ,Muhammad umar, Saleem ullah , Seyedali mirjalili, Vaibhav rupapara, and Michele nappi(2021)
5. Heart Disease Detection by Using Machine Learning Algorithms and a Real-Time Cardiovascular Health Monitoring System - Shadman
Nashif, Md. Rakib Raihan, Md. Rasedul Islam, Mohammad Hasan Imam (2018)
6. “Improving the accuracy of prediction of heart disease risk based on ensemble classification techniques”, C. B. C. Latha, S.C.Jeeva,
Informatics in Medicine Unlocked 16,2019
7. An improved ensemble learning approach for the prediction of heart disease risk, Ibomiye Domer Mienve, Yanxia sun, Zenghui
Wang(2020)
8. Classification models for heart disease prediction using feature selection and PCA, Anna Karen Gárate-Escamila, Amir Hajjam El
Hassani, Emmanuel Andrès(2020)
9. Survival prediction of heart failure patients using machine learning techniques, Asif Newaz, Nadim Ahmed, Farhan Shahriyar Haq(2021)

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