The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...

Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...

Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...

A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

When electricity or fuel powers a machine, the machine gets hotter. Finding new ways to cool machines quickly and ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...