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 ...
Gas sensing material screening faces challenges due to costly trial-and-error methods and the complexity of multi-parameter ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning metrics
MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...
When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...
When Arinze Nkemdirim Okere, PharmD, MBA, worked as the pharmacist for a hospital in Tallahassee, Florida, he noticed that ...
Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for reducing those emissions—has been hampered by missing data on how buildings ...
Princeton researchers have developed a new tool to speed the discovery of advanced materials known as metal organic ...
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