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

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 ...

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

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 ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Modern credit risk management now leans significantly on predictive modelling, moving far beyond traditional approaches. As lending practices grow increasingly intricate, companies that adopt advanced ...

Following internal testing and proof-of-concept using live data, CQG has confirmed that the system has been successful in a live trading environment. “Following extensive machine learning (ML) ...