An Efficient Approach to Detect Liver Disorder Using Customised SVM in Comparison with Random Forest Algorithm to Measure Accuracy

Cardiometry

article

M. Mohammed Zaheer¹  P. Nirmala¹ 

[1] Department of Biomedical Engineering, Saveetha School of Engineering, Saveetha Institute of Medical & Technical Sciences, Saveetha University

关键词: Liver disorder;    Customised SVM;    Random forest algorithm;    Machine learning;    Innovative liver disorder detection;    Accuracy;   

DOI  :  10.18137/cardiometry.2022.25.10241030

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05 (Independent sample T-test). Conclusion: This study concludes that the random forest algorithm is having less accuracy value when compared to customised SVM algorithm 93.80%. By this study the effective approach for detection of liver disorder was determined.

【 授权许可】

CC BY