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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