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

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

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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

Student retention and success remain persistent global challenges in higher education, with direct implications for institutional quality, resource ...

Investment Week provides the latest investment news, analysis and opinion for wealth managers and the UK funds industry ...