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Research Paper | Computer Science and Information Technology | India | Volume 10 Issue 5, May 2021 | Popularity: 4.5 / 10

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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

DOI: https://www.doi.org/10.21275/SR201009182321

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