Rough Set-Based Feature Selection for Predicting Diabetes Using Logistic Regression with Stochastic Gradient Decent Algorithm

Rough Set-Based Feature Selection for Predicting Diabetes Using Logistic Regression with Stochastic Gradient Decent Algorithm

Disease prediction and decision-making plays an important role in medical diagnosis. Research has shown that cost of disease prediction and diagnosis can be reduced by applying interdisciplinary approaches. Machine learning and data mining techniques in computer science are proven to have high poten...

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Bibliographic Details
Main Authors: Kanaan Mikael Kaka-Khan, Hoger Mahmud, Aras Ahmed Ali
Format: Article
Language:English
Published: University of Human Development 2022-10-01
Series:UHD Journal of Science and Technology
Subjects:
logistic regression
stochastic gradient descent
rough set theory
k-fold cross-validation
diabetes prediction
Online Access:https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1031

Internet

https://journals.uhd.edu.iq/index.php/uhdjst/article/view/1031

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