Analysis and Comparison for Prediction of Diabetic among Pregnant Women using Innovative K-Nearest Neighbor Algorithm over Logistic Regression 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 K-Nearest Neighbor algorithm;    Logistic Regression algorithm;    Artificial Intelligent;    Accuracy;   

DOI  :  10.18137/cardiometry.2022.25.949955

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 K-Nearest Neighbor algorithm, the Logistic Regression algorithm predicts better classification in discovering the accuracy, sensitivity, and precision for accessing the rate for prediction of diabetes among pregnant women.

【 授权许可】

CC BY