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 ...
Introduction Osteoporosis and fragility fracture are more frequently found in systemic lupus erythematosus (SLE) patients ...
Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...
A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine ...
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: In this project, we aimed to assess mushroom contamination by analyzing images using two different algorithms: a novel K-Nearest Neighbour algorithm and a traditional Logistic Regression ...
Abstract: In the context of evaluating machine learning algorithms for binary classification tasks, predicting passenger survival on the Titanic provides a practical benchmark. The research aims to ...
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 ...
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