Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

A new research paper shows the approach performs significantly better than the random-walk forecasting method.

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

Revvity, Inc. RVTY recently announced a collaboration with Eli Lilly and Company to make Eli Lilly’s TuneLab predictive ...

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Relating brain activity to behavior is an ongoing aim of neuroimaging research as it would help scientists understand how the brain begets behavior — and perhaps open new opportunities for ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...