Biological processes that govern our lives are many, intertwined, and often difficult to understand. They involve countless ...

A resilient data strategy must treat unstructured content not as archival noise but as a primary input into the enterprise ...

Introduction: This study aimed to develop a diabetic retinopathy (DR) Prediction model using various machine learning algorithms incorporating the novel predictor Triglyceride-glucose index (TyG).

Abstract: This paper presents a novel approach to practical nonlinear model predictive control (PNMPC) using Kolmogorov–Arnold networks (KANs) as prediction models. KANs are based on the ...

Abstract: The present study constructed a prediction model for type 2 diabetes (T2D) based on deep learning and machine learning techniques. The objective of this construction was to achieve an ...

Department of Respiratory and Critical Care Medicine, The Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China Objectives: To study the characteristic factors associated with ...

1 Mathematics and Statistics, Austin Peay State University Clarksville, Tennessee, USA. 2 Technology, University of Central Missouri, Warrensburg, MO, USA. 3 Business Administration, Austin Cornell ...

Introduction Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients ...