For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

Predicting who might die while in the hospital is one of the hardest challenges for doctors caring for people with serious liver disease.

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

The Recentive decision exemplifies the Federal Circuit’s skepticism toward claims that dress up longstanding business problems in machine-learning garb, while the USPTO’s examples confirm that ...

By analysing videos of penalty kicks, a deep learning model was able to predict whether a shot would go to the goalkeeper’s ...