Crowdsourced Seizure Prediction

Epilepsy, which is often compared to an electrical storm in the brain, affects nearly one percent of people worldwide. The most common treatment is medication, which can leave people feeling tired or dizzy. Other options include surgery and a new type of implanted device that uses electrical pulses to prevent seizures. A better prediction algorithm has the potential to make implanted devices more effective. Ideally, the devices would work a bit like a heart defibrillator — only delivering electrical current when it’s needed. However, to date  prediction algorithms have been little better than random chance. That is until the result of a competition, announced at the American Epilepsy Society’s annual meeting in Seattle, showed the value of sharing a complex problem in neuroscience with experts from unrelated fields. The winning team included a mathematician and an engineer, but no doctor. The contest, with a first prize of $15,000, was sponsored by NINDS, the American Epilepsy Society and the Epilepsy Foundation. Over 500 teams entered via Kaggle.com, a website that allows researchers and companies to post data in the cloud for competitors to analyze, an approach known as crowdsourcing.
Thanks to my colleague, Mark Wilson, for finding this story in Discovermagazine.com.

from The Universal Machine http://universal-machine.blogspot.com/2016/02/crowdsourced-seizure-prediction.html

Advertisements

About driwatson
I'm a New Zealand author, computer scientist and blogger specialising in Artificial Intelligence. I also have an interest in the history of computing and have just written a popular science book called "The Universal Machine - from the dawn of computing to digital consciousness."

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: