Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

Optimal stratification, 22 a statistical method similar to receiver operator curve analysis, was used to solve specific threshold values within three continuous covariates. Optimal stratification is ...

Arable businesses are under increasing pressure to boost spraying efficiency, cut input costs, and meet tightening ...

Quantifying mitral regurgitation (MR) using echocardiography poses challenges due to the complexity of assessing its severity ...

Vienna, Austria played host to a momentous gathering, welcoming over 15,000 attendees from across five continents for the ...

measured as the area under the receiver operator characteristic curve, where higher C-statistics represent better model fit; the coefficients of the added variables; and rates of excess ...

The relationship between adalimumab trough level and clinical efficacy after 28 weeks of follow-up was determined in a concentration–effect curve. A receiver–operator characteristics (ROC) curve ...

2-way repeated measure ANOVA on accuracies of detecting targets from non-target stimuli (ratio 1:9) measured via area under the receiver operator characteristics curve (AUC) for ${N}={15}$ subjects ...

At statistical analysis we measured specificity, sensitivity, accuracy, ROC curve (Receiver operator characteristic) curve, TG-ROC (Two graph - receiver operator characteristic) and logistic ...