Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the ...

Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Statistical risk models face issues of validity as unprecedented events and social phenomena occur. However, artificial intelligence (AI) and machine learning can assist models in maximising accuracy.

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden ...

A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

Investment Firms use Random Forests for bond pricing and credit risk assessment. The model considers various factors like interest rates, credit spreads, and market sentiment to price bonds accurately ...

A research team at Tohoku University and Future University Hakodate has demonstrated that living biological neurons can be trained to perform a supervised temporal pattern learning task previously ...