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 ...
via Medindia Health News
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