Creating a Binary Logistic Regression Model for PredictingOutcomes in Individuals with Rheumatic Diseases

Logistic regression is a nonparametric model that is commonly used for predicting qualitative variables andis viewed as an alternative to simple and multiple linear regression models. This study aims to identify themost important factors affecting the prediction of rheumatic disease; this study is considered a descriptiveanalyticalstudy, as it relied mainly on primary data through a sample of ۲۵۰ individuals. Based oncomparisons, we conclude that the proposed analysis provides useful insights, performs effectively, and canbe applied to various fields.

Keywords:

Logistic regression , nonparametric model , rheumatic disease.