For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of inpatient mortality, according to a study published online July 23 in ...

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 ...

Random forests are the algorithm of choice for finance-focused machine learning models, as it can lower the time taken for pre-processing and data management tasks.

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

Environment The (Random) Forests for the Trees: How Our Spillover Model Works ProPublica borrowed machine learning methods from academic research to better understand links between forest loss and ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.