Automatic feature learning model combining functional connectivity network and graph regularization for depression detection-Reference-Cited by-同舟云学术

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Automatic feature learning model combining functional connectivity network and graph regularization for depression detection

Published:2023-04 Issue: Volume:82 Page:104520
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Yang Lijun^ORCID,Wei Xiaoge,Liu Fengrui,Zhu Xiangru,Zhou Feng^ORCID

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing,Biomedical Engineering

Reference55 articles.

1. Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017;James;Lancet,2018

2. Depression: A Global Public Health Concern;Marcus,2012

3. Adolescent depression: National trends, risk factors, and healthcare disparities;Lu;Am. J. Health Behav.,2019

4. Report on National Mental Health Development in China (2019-2020);Xuefeng,2021

5. Limitations of self-rating depression scales;Robbins;J. Clin. Psychiatry,1985

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