Prediction analysis of novel random forest algorithm and k nearest neighbor algorithm in heart disease prediction 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: Machine Learning;    Novel Random Forest;    K Nearest Neighbor;    Coronary Disease;    Prediction;    Classification;   

DOI  :  10.18137/cardiometry.2022.25.15541561

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 K Nearest Neighbor 67.21% is obtained. Conclusion: Prediction of Heart disease using the innovative Random Forest (RF) technique appears to be a significant improvement over the K Nearest Neighbor (KNN) algorithm in terms of accuracy.

【 授权许可】

CC BY