A Study of Heart Disease Prediction Based on Logistic Regression and CART Classification Published in: 2024 5th International Conference on Big Data, Artificial Intelligence and Internet of Things ...

By employing binary logistic regression to empirically investigate the interactive effects of these multifaceted factors on depressive symptomatology, this research seeks to provide valuable insights ...

In this context, the use of machine learning methods, such as logistic regression and other classification algorithms, might potentially be advantageous. This research aims to identify some noteworthy ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs ...

This paper aims to investigate the effectiveness of logistic regression and discriminant analysis in predicting diabetes in patients using a diabetes dataset. Additionally, the paper explores the ...