An AI-based intelligent diagnosis system for adolescent mental health based on multitask deep learning

Bibliographic Data

ID15524993
AuthorsWenyue Liu (0000-0003-2197-7788, Yantai University, corresponding author), Zhihao Zhang (0000-0002-3634-453X, National University of Malaysia), Linkang Du (0009-0004-9028-9326, Xi'an Jiaotong University), Jianguo Qiu (Ludong University)
Year2026
Volume17
Pages1752423-1752423
Publication date2026-02-24
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueFrontiers in Psychiatry (JOURNAL)
Journal identifiersISSN: 1664-0640 • E-ISSN: 1664-0640
PublisherFrontiers Media (PUBLISHER • CH)
DOI10.3389/fpsyt.2026.1752423
PMID41816530
OpenAlexW7131287115
LanguageEN
References cited34

The IDS offers a robust, culturally sensitive, and scalable tool for adolescent mental health screening. By outperforming single-task baselines, it provides a proactive, privacy-preserving alternative to traditional self-reports. Future research will focus on longitudinal validation, multimodal integration, and ethical deployment strategies to maximize the system's utility in educational and clinical settings

Anxiety · Artificial neural network · Autoencoder · Binary classification · Correlation · Data pre-processing · Deep learning · Multi-task learning · Recall · Somatization · Digital Mental Health Interventions · Emotion and Mood Recognition · Mental Health via Writing

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Open DOIOpen Access