Construction of machine learning models for recognizing comorbid anxiety in epilepsy patients based on their clinical and quantitative EEG features-Reference-Cited by-同舟云学术

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Construction of machine learning models for recognizing comorbid anxiety in epilepsy patients based on their clinical and quantitative EEG features

Published:2024-03 Issue: Volume:201 Page:107333
ISSN:0920-1211
Container-title:Epilepsy Research
language:en
Short-container-title:Epilepsy Research

Author:

Ren Zhe,Wang Bin,Yue Mengyan,Han Jiuyan,Chen Yanan,Zhao Ting,Wang Na,Xu Jun,Zhao Pan,Li Mingmin,Sun Lei,Wen Bin,Zhao Zongya,Han Xiong

Funder

Department of Science and Technology of Henan Province

People's Government of Henan Province

Henan Provincial People's Hospital

Publisher

Elsevier BV

Reference39 articles.

1. Seizure prediction in patients with focal hippocampal epilepsy;Aarabi;Clin. Neurophysiol.,2017

2. Prevalence of and risk factors for anxiety and depressive disorders in Nigerian adolescents with epilepsy;Adewuya;Epilepsy Behav.,2005

3. Prediction of chemoresistance trait of cancer cell lines using machine learning algorithms and systems biology analysis;Ataei;J. Big data,2021

4. Anxiety in Parkinson's disease: a resting-state high density EEG study;Betrouni;Neurophysiol. Clin.,2022

5. Is interictal EEG activity a biomarker for mood disorders in temporal lobe epilepsy?;Bragatti;Clin. Neurophysiol.,2014

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