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

Researchers employed a machine learning technique known as random forest analysis and found that it significantly outperformed traditional methods in predicting which hospitalized patients with ...

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

Researchers employed a machine learning technique known as random forest analysis and found that it significantly ...

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

Teaching computers to guide science: Machine learning method sees forests and trees. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2018 / 03 / 180306100503.htm ...