Your quest for the winning score, whether you are playing cricket or basketball, is changing with technology. The prediction models of today are powered largely by machine learning (ML), artificial ...

Type 2 diabetes could be detected earlier ... algorithm on the dataset before training the machine learning model for prediction,” Ismail says, adding that her team is currently building an ...

A recent modeling study has identified risk factors predictive of good and bad outcomes in non-diabetic CKD, such as gender, ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat. Preventing and treating cancer has become a global priority, with identifying ...

Nevertheless, our (current) modeling techniques are often inaccurate, resulting in incorrect predictions.” Ebrahimian and his team will work to develop machine-infused physics-based models for ...

"We observed that for all clinical prediction tasks, models that integrate multiple types of data consistently outperform those based on imaging or text data alone. Leveraging these types of ...

Researchers from Emory University have developed a robust AI-powered meta-model designed to predict the likelihood of blood transfusion in non-traumatic ICU patients. Published in Health Data Science, ...