Individualizing the definition of seizure clusters based on temporal clustering analysis-Reference-Cited by-同舟云学术

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Individualizing the definition of seizure clusters based on temporal clustering analysis

Published:2020-07 Issue: Volume:163 Page:106330
ISSN:0920-1211
Container-title:Epilepsy Research
language:en
Short-container-title:Epilepsy Research

Author:

Chiang Sharon,Haut Sheryl R.,Ferastraoaru Victor,Rao Vikram R.,Baud Maxime O.,Theodore William H.,Moss Robert,Goldenholz Daniel M.

Publisher

Elsevier BV

Subject

Neurology (clinical),Neurology

Reference31 articles.

1. Controlling the false discovery rate: a practical and powerful approach to multiple testing;Benjamini;J. R. Stat. Soc. Ser. B,1995

2. Perspectives on seizure clusters: gaps in lexicon, awareness, and treatment;Buelow;Epilepsy Behav.,2016

3. Epilepsy as a dynamic disease: a Bayesian model for differentiating seizure risk from natural variability;Chiang;Epilepsia Open,2018

4. Prospective validation study of an epilepsy seizure risk system for outpatient evaluation;Chiang;Epilepsia,2020

5. The dynamics of the epileptic brain reveal long-memory processes;Cook;Front. Neurol.,2014

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