CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection-Reference-Cited by-同舟云学术

CAIINET: Neural network based on contextual attention and information interaction mechanism for depression detection

Published:2023-06 Issue: Volume:137 Page:103986
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Zhou Li,Liu Zhenyu,Yuan Xiaoyan,Shangguan Zixuan,Li Yutong,Hu Bin^ORCID

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference58 articles.

1. Impulsivity and its relationship with anxiety, depression and stress;Moustafa,2021

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3. Prevalence of mental disorders in China: a cross-sectional epidemiological study;Huang;Lancet Psychiatry,2019

4. Depression and other common mental disorders: global health estimates;Organization,2017

5. Risk factors for suicide in individuals with depression: a systematic review;Hawton;J. Affect. Disord.,2013

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