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 ...

With the rapid development of the global economy, many countries particularly China are facing significant aging challenges [ ...

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

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

These AI tools for data analysis will help everyone from small companies to large corporations training Machine Learning ...

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

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

ACCURATELY predicting which breast cancer patients will respond completely to neoadjuvant chemotherapy (NAC) remains a ...

Post-cerclage cervical length offers a better predictive value for spontaneous preterm birth than pre-cerclage cervical ...

While grief is a natural part of loss, some people experience persistently high levels that can have long-term health ...

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

Researchers have found in a new study that both Clostridioides difficile infection (CDI)-hospitalized patients with end-stage ...