A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

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 outperformed traditional methods in predicting which hospitalized patients with ...

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 ...

In the global trend of vigorously developing hydrogen energy, proton-conducting solid oxide electrolysis cells (P-SOECs) have ...

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 ...

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

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