Identification of Major Psychiatric Disorders From Resting-State Electroencephalography Using a Machine Learning Approach

We aimed to develop a machine learning (ML) classifier to detect and compare major psychiatric disorders using electroencephalography (EEG). We retrospectively collected data from medical records, intelligence quotient (IQ) scores from psychological assessments, and quantitative EEG (QEEG) at restin...

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Detalles Bibliográficos
Autores principales: Park, Su Mi, Jeong, Boram, Oh, Da Young, Choi, Chi-Hyun, Jung, Hee Yeon, Lee, Jun-Young, Lee, Donghwan, Choi, Jung-Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416434/
https://www.ncbi.nlm.nih.gov/pubmed/34483999
http://dx.doi.org/10.3389/fpsyt.2021.707581

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8416434/
https://www.ncbi.nlm.nih.gov/pubmed/34483999
http://dx.doi.org/10.3389/fpsyt.2021.707581

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