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 bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

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

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 ...

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 ...

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

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

Agricultural firms are uniquely exposed to risks that include volatile commodity prices, geopolitical tensions, and uneven access to credit. These conditions heighten the importance of timely ...

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