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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 ...

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

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 ...

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

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

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

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