Thanks to the crowdsourcing of more than 10,000 algorithms from around the world, epileptic seizure prediction is possible in a wider range of patients than previously thought, according to new research.
In 2016, researchers ran the Seizure Prediction Challenge on the online data science competition platform Kaggle.com. The contest focused on seizure prediction using long-term electrical brain activity recordings from humans obtained in 2013 from the world-first clinical trial of the implantable NeuroVista Seizure Advisory System.
Researchers rigorously evaluated the top algorithms and report their findings in Brain: A Journal of Neurology.
Levin Kuhlmann, from the Graeme Clarke Institute at the University of Melbourne and St. Vincent’s Hospital in Melbourne, says the contest was a huge success, with more than 646 participants, 478 teams, and more than 10,000 algorithms from around the world.