Objective Identify predictors for mortality and clinical short-term outcomes in patients with left-sided infective ...

Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...

This project develops machine learning ML surrogate models to approximate the performance of a binary distillation column. Process data is generated using DWSIM, an open-source process simulator, by ...

Abstract: This study combined linear discriminant analysis (LDA) and multivariate logistic regression models to systematically analyze key indicators in flood prediction, aiming to identify factors ...

eSpeaks host Corey Noles sits down with Qualcomm's Craig Tellalian to explore a workplace computing transformation: the rise of AI-ready PCs. Matt Hillary, VP of Security and CISO at Drata, details ...

Hi！ I'm looking for advice on how to interpret the results of qgcomp.boot. I am using multivariate logistic regression and x1,x2,x3 are all negatively correlated with Y. In qgcomp.boot analysis ...

ABSTRACT: Floods are phenomenon with significant socio-economic implications mainly for human loss, agriculture, livestock, soil loss and land degradation, for which many researchers try to identify ...