A random forest machine learning model achieved strong predictive performance for acute respiratory distress syndrome among ...

An interpretable machine learning framework combining Schrödinger optimization and SHAP analysis improved four-class ...

Earth system models have issues representing groundwater at global scales. Researchers found that using machine learning to ...

All materials contain inherent defects. These are not always harmful, since they can be used to engineer and introduce ...

Theoretical physicists use machine-learning algorithms to speed up difficult calculations and eliminate untenable theories—but could they transform what it means to make discoveries? Theoretical ...

Introduction Recurrent stroke remains a major threat after an index stroke, but individual risk is difficult to estimate because recurrence reflects interacting clinical, imaging, treatment, ...

Inside the gut, on the surface of the skin and lining your ears, mouth and nose are colonies of millions of microbes. For ...

Artificial intelligence is built on the foundation of machine learning (ML) models. These models are software programs designed to classify data, identify data patterns, spot anomalies in data sets, ...

A machine learning model to predict the outcomes of football matches based on historical data - lorenzopalaia/Football-Prediction ...

AI in myeloproliferative neoplasms can grade marrow fibrosis and predict survival, but authors say prospective, ...