While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

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 ...

History has a way of repeating itself. But unlike science, built on general principles and testable theories about the ...

New research shows machine-learning models predict suicide risk better than existing methods, emphasizing the critical role ...

Interestingly, the study also identified a counterintuitive negative association between heavy alcohol consumption and ...

In livestock, veterinary drug residues are detected through non-destructive methods like hyperspectral imaging. One case in ...