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

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 [ ...

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

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

Let’s say there are 100 records in the training dataset. The observations are arranged in decreasing order of probability ...

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 ...

Early intervention in psoriatic arthritis (PsA) is disease-modifying, and delays in diagnosis, even by 6 months, can reduce ...

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

Low income was linked to higher pulmonary risk and poorer health among long-term survivors of blood or marrow transplants.

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven ...