Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches

10.1016/j.ebiom.2022.104027

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Bibliographic Details
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:
Biomarkers discovery
Depression
Depressive disorder
Feature selection
Functional near-infrared spectroscopy
Supervised learning
Biomarkers
Depressive Disorder, Major
Humans
Machine Learning
Neuroimaging
Neurovascular Coupling
Support Vector Machine
Online Access:https://scholarbank.nus.edu.sg/handle/10635/226832
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Institution: National University of Singapore

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https://scholarbank.nus.edu.sg/handle/10635/226832

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