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

Postpartum hemorrhage (PPH) remains the leading cause of maternal mortality globally, particularly affecting women with ...

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

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

Lower physical activity in individuals with IBD was linked to active symptoms, fatigue, smoking, and female sex.

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

Researchers have found in a new study that high sugar intake and vitamin D deficiency significantly contribute to enamel ...

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

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

The study provides clear evidence that financial discrimination in the United States is not distributed evenly across ...

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

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