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

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

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

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 ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

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

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

Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall ...