A retrospective study examines opioid prescription trends from 2017 to 2023, identifying a significant overall decrease and shifts related to the COVID-19 pandemic.

Overview Regression explains how changes in one factor influence another with clarity.Each regression type is suited for ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Purpose: To develop a machine learning model to predict anatomical response to anti-VEGF therapy in patients with diabetic macular edema (DME). Methods: This retrospective study included patients with ...

In Table 3, the VIF values for each variable are < 5, which has been reduced as multicollinearity between variables. 3.3. Use the Entropy Weight Method to Weight the Data When exploring the factors ...

Objective: This study aimed to develop and validate a multivariate logistic regression model for predicting intracranial aneurysm (IA) rupture by integrating clinical data, aneurysm morphology, and ...

Chickenpox is a common acute and highly contagious disease in childhood; moreover, there is currently no targeted treatment. Carrying out an early warning on chickenpox plays an important role in ...

This project aims to classify human actions based on daily activities using a custom Logistic Regression model. The model is implemented from scratch, providing a clear understanding of the underlying ...