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

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

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 ...

A Virginia Commonwealth University (VCU) gastroenterologist and a global team of researchers have developed an artificial intelligence model that significantly improves doctors’ ability to predict ...

We're a long way from having extensive powers of crime prediction, but that's not to say that it makes no sense to consider ...

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

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

Although Bitcoin and Ethereum remain major assets in the crypto market, Gulf investors are now looking at low-cap altcoins ...

Many investors worry that the crypto market is getting too hot to handle. Here are three robust reasons to calm down and ...

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