Researchers from different fields at the University of Pennsylvania, including neurocritical care, engineering, and informatics experts, have developed a new way through which the risk of a serious adverse event following ruptured brain aneurysm in stroke patients can be detected. This new, data-driven machine learning model, involves an algorithm for computers to combine results from various uninvasive tests to predict a secondary event. Preliminary results were ...Friday, 4 October 2013
New Method to Detect Risk of Adverse Events After Stroke Developed
Researchers from different fields at the University of Pennsylvania, including neurocritical care, engineering, and informatics experts, have developed a new way through which the risk of a serious adverse event following ruptured brain aneurysm in stroke patients can be detected. This new, data-driven machine learning model, involves an algorithm for computers to combine results from various uninvasive tests to predict a secondary event. Preliminary results were ...
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