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Mistaken correlations: Why it's critical to move beyond overly aggregated machine-learning ...
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 ...
When US Airways Flight 1549 lost all power after hitting a flock of geese in 2009, Captain Chesley “Sully” Sullenberger’s background as a glider pilot helped him manage the aircraft and see landing ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
For the first time, researchers have used machine learning—a type of artificial intelligence (AI)—to identify the most ...
In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...
Dynamic prediction of cancer-associated thrombosis to guide prophylactic anticoagulation. Age distribution of metastatic cancer patients and chemotherapy discontinuation rates.
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