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

The works of Richa Awasthi, a recognised leader in credit risk and digital financial innovation, demonstrates how predictive ...

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

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

COMET, a novel machine learning framework, integrates EHR data and omics analyses using transfer learning, significantly enhancing predictive modeling and uncovering biological insights from small ...

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

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 ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...