Building an auxiliary diagnostic and treatment efficacy prediction model for adolescent depression using machine learning based on electroencephalography technology.

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Title: Building an auxiliary diagnostic and treatment efficacy prediction model for adolescent depression using machine learning based on electroencephalography technology.
Authors: Peng T; School of Physical Education, Shaanxi Normal University, Xi'an, Shaanxi, China., Chi A; School of Physical Education, Shaanxi Normal University, Xi'an, Shaanxi, China., Yang J; School of Physical Education, Shaanxi Normal University, Xi'an, Shaanxi, China., Ren Y; School of Physical Education, Shaanxi Normal University, Xi'an, Shaanxi, China., Li Y; School of Physical Education, Shaanxi Normal University, Xi'an, Shaanxi, China., Fan J; Shaanxi Vocational and Technical College, Xi'an, Shaanxi, China.
Source: Frontiers in human neuroscience [Front Hum Neurosci] 2026 Jun 09; Vol. 20, pp. 1774822. Date of Electronic Publication: 2026 Jun 09 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Research Foundation Country of Publication: Switzerland NLM ID: 101477954 Publication Model: eCollection Cited Medium: Print ISSN: 1662-5161 (Print) Linking ISSN: 16625161 NLM ISO Abbreviation: Front Hum Neurosci Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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ISSN:1662-5161
DOI:10.3389/fnhum.2026.1774822