Using the machine learning techniques to predict seizures in patients based on encephalogram data.
Industry: Medical Care. Data science.
Customer: American Epilepsy Society
This solution was initially developed for the American Epilepsy Society during the international Machine Learning development contest. The ProWide Labs solution is in the top 20 best development list among 500 teams.
It was required to develop an algorithm that would predict an epileptic seizure based on intracranial electroencephalography records.
The task was to distinguish 10-minute intervals, covering 1 hour before the seizure, and 10-minute intervals corresponding to normal brain activity (over 24 hours before the seizure).
There was about 100Gb of raw input data provided for the competition.
Scope of work: