Performance analysis of heart disease prediction system using novel random forest over Naive Bayes algorithm with an improved accuracy rate

Cardiometry

article

T Poojitha¹  Mahaveerakannan R¹ 

[1] Department of Computer Science and Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Saveetha University

关键词: Prediction;    Novel Random Forest;    Naive Bayes;    Machine Learning;    Coronary Disease;    Classification;   

DOI  :  10.18137/cardiometry.2022.25.15621569

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05. Results and Discussion: The accuracy of predicting heart disease in Novel Random Forest 90.16% and Naive Bayes 85.25% is obtained. Conclusion: Prediction of Heart disease using With enhanced accuracy, the novel Random Forest(RF) the technique appears to be far better to the Naive Bayes(NB).

【 授权许可】

CC BY