This study aims to develop and validate a novel scoring model to predict the risk of PMV in cardiac surgery patients. Methods: A retrospective analysis was conducted using data from 14 comprehensive ...

Weighted Model counting (WMC) is a fundamental problem in computer science with a wide variety of applications in practice, ranging from neural network verification to network reliability.

Weighted Model counting (WMC) is a fundamental problem in computer science with a wide variety of applications in practice, ranging from neural network verification to network reliability. The current ...

However, current methods mainly focus on the unsupervised paradigm, which uses a large number of normal samples of the same category to train the model, and distinguish anomalies during testing. This ...

The expression profiles of these eight NPDR risk-related characteristic metabolites were analyzed using Cox regression to establish a risk score model. Subsequently, univariate and multivariate Cox ...

we then created a quantitative model to score each lender in four major categories across 26 weighted criteria important to people looking for a personal loan. In all, we considered 1,534 data poi ...