Florida Atlantic University is often on the cutting edge of research and fascinating discoveries.
And the Boca Raton school has done it again – this time coming up with a novel solution for managing the treatment of sports-related concussions. Researchers from the College of Engineering and Computer Science, SIVOTEC Analytics in Boca Raton and other collaborators are teaching machines how to predict recovery time from sports-related concussions based on symptoms like headache, dizziness and fatigue.
“This novel application of supervised machine learning to sport concussion epidemiology is an important step in advancing the approach in clinically managing a complex condition,” said Stella Batalama, Ph.D., dean of the college, in a press release.
Added Michael F. Bergeron, Ph.D., senior vice president of development and applications at SIVOTEC Analytics: “It is really important to be able to promptly identify those athletes who are going to need more time to recover after incurring their concussion. The ability to predict recovery time using machine learning will help to augment an effective stratified approach to care. This also can help with realistic expectations of the student athlete as well as provide important insight and perspective for parents, coaches and teachers.”
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