Introduction Diabetes distress is a common health problem among people living with type 2 diabetes (T2D), making it difficult to manage the condition. Though it remains a problem, limited attention ...
Objectives This study aims to estimate the prevalence and associated factors of anxiety, depression and stress symptoms among doctors working in hospitals with COVID-19 treatment units in the ...
Introduction The impact of stunting, thinness and obesity on depression and anxiety during challenging times, such as ...
Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...
Paper aims This paper addresses the influence of socioeconomic, quality, built environment, and safety variables on the demand for public transportation service. Originality This study covers a ...
1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Abstract: The logistic regression model is a linear model widely used for two-category classification problems. This report examines the enhancement and improvement methods of logistic regression ...
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 ...
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