The VD and FD data passed normality tests (D’Agostino-Pearson, Anderson-Darling, Shapiro-Wilk and Kolmogorov-Smirnov test), so the unpaired t-test was used to compare the two groups. A logistic ...

Background Obesity is a known risk factor for hypertension, but the extent to which physical activity mediates this ...

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 ...

Among pediatric patients with intermittent asthma, around one-third did not have significant acute care needs over a 2-year ...

Predicting performance for large-scale industrial systems—like Google’s Borg compute clusters—has traditionally required extensive domain-specific feature engineering and tabular data representations, ...

1 Department of Business Information System, Central Michigan University, Mount Pleasant, MI, USA. 2 Department of MPH, Central Michigan University, Mount Pleasant, MI, USA. 3 Department of ...

Objective: This study aimed to develop and validate a multivariate logistic regression model for predicting intracranial aneurysm (IA) rupture by integrating clinical data, aneurysm morphology, and ...

Cameron Brink before the 2024 WNBA Draft at Brooklyn Academy of Music. / Brad Penner-Imagn Images Cameron Brink has had an incredible past week. That’s a great week right there by itself. Oh, there ...