Analysis and Comparison for Prediction of Diabetic among Pregnant Women using Innovative Support Vector Machine Algorithm over Random Forest Algorithm with Improved Accuracy

Cardiometry

article

Venkata Sai Kumar Pokala¹  Neelam Sanjeev Kumar¹ 

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

关键词: Diabetes prediction;    Innovative Support Vector Machine Algorithm;    Random Forest Algorithm;    Artificial Intelligence;    Accuracy;   

DOI  :  10.18137/cardiometry.2022.25.956962

学科分类：环境科学（综合）

来源: Russian New University

【 摘 要 】

0.05. Conclusion: When compared to the innovative Support Vector Machine Algorithm, the Random Forest approach predicts superior classifications in identifying the accuracy, sensitivity, and precision for accessing the rate for diabetes prediction among pregnant women.

【 授权许可】

CC BY