Background This study investigates factors associated with electronic cigarette (e-cigarette) use and secondhand exposure in ...
Objectives Venous thromboembolism (VTE) remains highly prevalent among medically ill patients and often leads to increased mortality. Therefore, this study aimed to assess compliance with VTE ...
A predictive model for psoriasis relapse risk demonstrates moderate performance, according to results of a recent study.
Using routinely collected baseline data across 11 registries, prediction of remission showed limited discrimination and was best suited to ruling out remission. Performance was similar for a ...
NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic regression and exploratory Firth models for stratified analyses. PFDA ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...
In recent years, a learning method for classifiers using tensor networks (TNs) has attracted attention. When constructing a classification function for high-dimensional data using a basis function ...
Abstract: Blockchain has found many uses beyond cryptocurrency trading. However, this technology faces the challenge of low transactions per second (TPS), which hinders it from competing at scale with ...
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