Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
10.1016/j.ebiom.2022.104027
Saved in:
Main Authors: | Li, Zhifei, McIntyre, Roger S, Husain, Syeda F, Ho, Roger, Tran, Bach X, Nguyen, Hien Thu, Soo, Shuenn-Chiang, Ho, Cyrus S, Chen, Nanguang |
---|---|
Other Authors: | BIOMEDICAL ENGINEERING |
Format: | Article |
Published: |
Elsevier BV
2022
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/226832 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
The current research landscape on the artificial intelligence application in the management of depressive disorders: A bibliometric analysis
by: Tran, B.X., et al.
Published: (2021) -
Advanced glycation end products measured by skin autofluorescence are associated with melancholic depressive symptoms – Findings from Helsinki Birth Cohort Study
by: Eriksson, Mia D., et al.
Published: (2022) -
Depressive Disorder and Cardiovascular Status: Interaction with Inflammation
by: ANNA CHUA NYAP CHENG
Published: (2013) -
Indicators of pretreatment suicidal ideation in adults with major depressive disorder
by: Morris, D.W., et al.
Published: (2014) -
Differences in psychiatric symptoms among Asian patients with depression: A multi-country cross-sectional study
by: Sulaiman, A.H., et al.
Published: (2014)