Prediction of Diabetes using Logistic Regression, Classification, and Regression Tree
Article Sidebar
Published:
Aug 30, 2024
Keywords:
Artificial intelligence, classification and regression tree, Prediction, Diabetes
Main Article Content
Abstract
The study underscores the significance of predicting diabetes for prevention, employing logistic regression and CART analysis to identify crucial risk factors like glucose, insulin, age, and BMI. CART analysis showed superiority in accuracy, sensitivity, and specificity over logistic regression.
Metrics
Metrics Loading ...
Article Details
How to Cite
Powar, J., Dase, R., & Bhosle, D. (2024). Prediction of Diabetes using Logistic Regression, Classification, and Regression Tree. Journal of Research in Medical and Interpathy Sciences, 2(1), 17–21. Retrieved from https://9vom.in/journals/index.php/remedis/article/view/255
Section
Original Articles
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.