Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkers

Prediction model for potential depression using sex and age-reflected quantitative EEG biomarkers

Depression is a prevalent mental disorder in modern society, causing many people to suffer or even commit suicide. Psychiatrists and psychologists typically diagnose depression using representative tests, such as the Beck’s Depression Inventory (BDI) and the Hamilton Depression Rating Scale (HDRS),...

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Bibliographic Details
Main Authors: Taehyoung Kim, Ukeob Park, Seung Wan Kang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Psychiatry
Subjects:
depression
EEG
classification
biomarker
prediction
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyt.2022.913890/full

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