Importance/background The 12-lead ECG is recommended in clinical guidelines for prehospital assessment of patients with ...

This article considers the problem of inference for nested least squares averaging estimators. We study the asymptotic behavior of the Mallows model averaging estimator (MMA; Hansen, 2007) and the ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...

Background Lower-quality employment, characterised by excessive or part-time hours, irregular schedules and inadequate earnings, is a key social determinant of health among adults. Research examining ...

Background Spondyloarthritis (SpA) encompasses a spectrum of immune-mediated inflammatory conditions primarily affecting the axial skeleton, including sacroiliitis and spondylitis, each with distinct ...

Abstract: Over the past decade, characterizing the precise asymptotic risk of regularized estimators in high-dimensional regression has emerged as a prominent research area. This literature focuses on ...

Linear regression models the relationship between a dependent and independent variable(s). A linear regression essentially estimates a line of best fit among all variables in the model. Regression ...

1 Department of Pediatrics, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China 2 Department of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China ...

Using machine learning to forecast maintenance readiness at the frontline unit level. The Army’s current model to determine future equipment readiness levels falls short of enabling command ...