This article constructs a new model based on multivariate adaptive generalized Poisson
regression splines (MAGPRS) and geographically weighted generalized Poisson regression …

Abstract Multivariate Adaptive Regression Spline (MARS) is a nonparametric regression
method that can accommodate additive effects and interaction effects between predictor …

The non-parametric regression method becomes an alternative that prioritizes flexibility.
Therefore, it is possible to obtain a regression curve model when its shape is not yet known …

Background: Diabetes is a serious chronic disease that occurs either when the pancreas
does not produce enough insulin, or when the body cannot effectively use the insulin it …

Several Multivariate Adaptive Regression Spline (MARS) approaches are available to
model categorical and numerical (especially continuous) data. Currently, there are other …

Tuberculosis (TB) is an infectious disease, caused by mycobacterium tuberculosis that
affects various organs, especially the lungs. If TB treatment is not done thoroughly by the …

This article offers a new method of clustering data. This method is constructed by combining
the multivariate adaptive regression spline biresponse continuous model (MARSBC) with …

Feature selection (FS) is the core concept in the field of both machine learning and data
management. FS can eliminate irrelevant or partially related features to improve model …

Poisson regression is a standard model for data counts that can be used to determine these
factors. Equidispersion is assumptions that must be met in poisson regression …

Abstract Acute Respiratory Infection (ARI) is an infectious disease of the respiratory tract that
affects the structure of the respiratory tract. The ARI is a health problem that should not be …