A study of over 6,800 patients identifies key pathways driving severe asthma exacerbation risk, highlighting roles for eosinophils, FeNO, and FEV₁.

Structure learning algorithms for Bayesian Networks (BNs) can be used to discover the underlying model from data. This enables identification of confounders through graph analysis, although the model ...

We consider the joint sparse estimation of the regression coefficients and the covariance matrix for covariates in a high-dimensional regression model. Here, the predictors are both relevant to a ...

A novel Bayesian Hierarchical Network Model (BHNM) is designed for ensemble predictions of daily river stage, leveraging the spatial interdependence of river networks and hydrometeorological variables ...

GAC Honda Applies for Patent on Vehicle Fault Diagnosis Based on Bayesian Networks, Enhancing Diagnostic Intuitiveness and Interpretability. GAC Honda's Innovative Technology Lead ...