Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network-Reference-Cited by-同舟云学术

Automated diagnosis of schizophrenia using EEG microstates and Deep Convolutional Neural Network

Published:2022-12 Issue: Volume:209 Page:118236
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Lillo Eric^ORCID,Mora Marco,Lucero Boris^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference41 articles.

1. Analysis methods of EEG signals: A review in EEG application for brain disorder;Abd Rahman;Jurnal Teknologi,2015

2. DSM-5. manual diagnóstico y estadístico de los trastornos mentales: DSM-5®;Association,2014

3. Schizophrenia: a concise overview of etiology, epidemiology diagnosis and management: review of literatures;Ayano;Journal of Schizophrenia Research,2016

4. Building machine learning and deep learning models on google cloud platform;Bisong,2019

5. The association of inequality with the incidence of schizophrenia;Boydell;Social Psychiatry and Psychiatric Epidemiology,2004

Cited by 24 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SimMix: Local similarity-aware data augmentation for time series;Expert Systems with Applications;2024-12

2. Identification and diagnosis of schizophrenia based on multichannel EEG and CNN deep learning model;Schizophrenia Research;2024-09

3. Schizophrenia diagnosis based on diverse epoch size resting-state EEG using machine learning;PeerJ Computer Science;2024-08-20

4. Wavelet Transform, Reconstructed Phase Space, and Deep Learning Neural Networks for EEG-Based Schizophrenia Detection;International Journal of Neural Systems;2024-07-16

5. Better electrobiological markers and a improved automated diagnostic classifier for schizophrenia—based on a new EEG effective information estimation framework;Applied Intelligence;2024-07-10