Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...

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

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...

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

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

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

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

Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...

Seoul National University Hospital researchers have developed an AI model that predicts the response to an anticonvulsant ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...