IBM’s AI classifies seizures with 98.4% accuracy using EEG data
http://feedproxy.google.com/~r/venturebeat/SZYF/~3/ezCSm9B04N0/
In a paper published on the preprint server Arxiv.org this week, IBM researchers describe SeizureNet, a machine learning framework that learns the features of seizures to classify various types. They say that it achieves state-of-the-art classification accuracy on a popular data set, and that it helps to improve the classification accuracy of smaller networks for applications with low memory and faster inference. » ….