Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

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 ...

Marc Warner said that getting computers to recognise a cup proved to be an almost impossible challenge — what they called the ‘grounding problem’. It didn’t really get solved until machine learning, ...

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

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late cancellations ...

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 ...