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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 ...
Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
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, ...
Researchers worked with the Federal Reserve to create a predictive model that assesses hundreds of institutional ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
As financial crime grows in scale, speed, and sophistication, banks are increasingly turning to artificial intelligence, ...
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