Tuesday, January 20, 2015

Crowdsouring Leads to Improved Seizure Prediction

Improved accuracy in seizure prediction could lead to a better quality of life and more independence for people with epilepsy.  A new algorithm that that can predict seizures with up to 82% accuracy has been developed from a crowdsourcing competition hosted by the American Epilepsy Society. By soliciting contributions from a “crowd of users”, teams were able to analyze a huge data set to develop the prediction equation. The success of this data sharing and collaboration has spurred the National Institute of Health’s National Institute of Neurological Disorders and Stroke (NINDS) to launch a site (iEEG.org) to facilitate the sharing of epilepsy related data, algorithms and research tools.

Read more here:
http://directorsblog.nih.gov/2015/01/20/epilepsy-research-benefits-from-the-crowd/