Prediction of antiepileptic drug treatment outcomes using machine learning-Reference-Cited by-同舟云学术

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Prediction of antiepileptic drug treatment outcomes using machine learning

Published:2016-11-30 Issue:1 Volume:14 Page:016002
ISSN:1741-2560
Container-title:Journal of Neural Engineering
language:
Short-container-title:J. Neural Eng.

Author:

Colic Sinisa,Wither Robert G,Lang Min,Zhang Liang,Eubanks James H,Bardakjian Berj L

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes for Health Research

Publisher

IOP Publishing

Subject

Cellular and Molecular Neuroscience,Biomedical Engineering

Link

http://stacks.iop.org/1741-2552/14/i=1/a=016002/pdf

Reference49 articles.

1. How common are the "common" neurologic disorders?

2. Value of electrical stimulation and high frequency oscillations (80-500 Hz) in identifying epileptogenic areas during intracranial EEG recordings

3. High seizure frequency prior to antiepileptic treatment is a predictor of pharmacoresistant epilepsy in a rat model of temporal lobe epilepsy

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