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

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 ...

WASHINGTON, July 1, 2025 /PRNewswire/ — FinRegLab today released new empirical research demonstrating that adopting machine ...

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

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 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 ...

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 ...

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

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

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

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