Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...

Scientists have developed the R-EDByUS score, a new model predicting neurological outcomes in out-of-hospital cardiac arrest patients using prehospital data only. The model allows for rapid ...

Dr. James McCaffrey of Microsoft Research presents a full-code, step-by-step tutorial on this powerful machine learning technique used to predict a single numeric value. A regression problem is one ...

A research team has demonstrated that spectroscopy combined with partial least squares regression (PLSR) can accurately ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

A recent study has developed a highly accurate risk prediction framework for preterm birth (PTB) that could broaden the potential of AI-driven multi-omics applications in precision obstetrics and ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...