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 ...

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 ...

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.

New research links ultra-processed food intake to increased diabetes risk in individuals with depression, highlighting the ...

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