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

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

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, according to research published in Gastroenterology.The model, which used Random ...

Sai Krishna's work in text mining has earned him well-deserved recognition within his organization. His development of an ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

For inpatients with cirrhosis, a machine learning (ML) model using random forest (RF) analysis is superior for prediction of ...

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

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

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

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

Diabetic retinopathy remains a major cause of vision loss among working-age individuals worldwide. While chronic ...

An accompanying episode of the Annals of Family Medicine Podcast, featuring study authors Ann Sinéad Doherty, PhD, and Emma ...