Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...

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 ...

A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

To create their contactless approach, the researchers created a machine learning algorithm capable of analyzing aspects of ...

For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...

A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...