Objective To help to clarify whether long term use of proton pump inhibitors is associated with an increased risk of gastric ...

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...

Introduction: Adolescent binge drinking (BD) is a major public health concern, yet little is known about the neural markers that precede alcohol initiation. This longitudinal study examined whether ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Background: Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear ...

A modular text classification system that detects misinformation across multiple domains. Each niche has its own dataset, labeling rules, and baseline models (TF-IDF + Logistic Regression / Linear SVM ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...