The severity of symptoms in posttraumatic stress disorder (PTSD) varies greatly across individuals in the first year after trauma and it remains difficult to predict whether someone might worsen, ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

A new study published in the journal Carbon Research introduces an advanced machine learning model capable of predicting how ...

Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...

Federal scientists announced a new artificial intelligence tool that can forecast drought conditions 90 days ahead across the ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Software simulates 370,000 steps in under 100 hours, potentially cutting demand for time on supercomputers by orders of ...