International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Open Access | Fully Refereed | Peer Reviewed

ISSN: 2319-7064


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Research Paper | Computer Science and Information Technology | India | Volume 10 Issue 5, May 2021


A Hybrid Machine Learning Technique for Prediction of Heart Diseases

Reshu Choubey, Dr. Nishchol Mishra, Dr. Jitendra Agrawal, Yogendra Pratap Maravi


Abstract: The heart is significant organ of human body part Heart disease describes a scope of conditions that influence your heart. Machine learning (ML) is the scientific study of algorithms and statistical models that PC systems use to play out a specific task without using unequivocal instructions, depending on patterns and deduction instead. There are various algorithms, which predict the heart disease. Accuracy is a key parameter to judge the algorithm. This paper proposed the hybrid algorithm based on na?ve bayes with random forest. Accuracy, classification error, F-measure, Recall and Precision parameters are calculated.92% accuracy achieved by proposed hybrid algorithm.


Keywords: Machine learning, F-measure, Recall and Precision


Edition: Volume 10 Issue 5, May 2021,


Pages: 506 - 510


How to Cite this Article?

Reshu Choubey, Dr. Nishchol Mishra, Dr. Jitendra Agrawal, Yogendra Pratap Maravi, "A Hybrid Machine Learning Technique for Prediction of Heart Diseases", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=SR201009182321, Volume 10 Issue 5, May 2021, 506 - 510

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