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

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

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 have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are turning ...

Training a machine learning model might sound tricky at first, but it’s actually pretty doable when you break it into steps. Whether you’re working with customer info, photos, or trying ...

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

A machine learning model developed to predict 5-year survival in stage III colorectal cancer patients highlights key ...

A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

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

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 ...