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

10.1016/j.ebiom.2022.104027

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-226832
record_format	dspace
spelling	sg-nus-scholar.10635-2268322024-04-15T12:35:06Z Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches Li, Zhifei McIntyre, Roger S Husain, Syeda F Ho, Roger Tran, Bach X Nguyen, Hien Thu Soo, Shuenn-Chiang Ho, Cyrus S Chen, Nanguang BIOMEDICAL ENGINEERING PSYCHOLOGICAL MEDICINE PAEDIATRICS 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 10.1016/j.ebiom.2022.104027 eBioMedicine 79 104027- 2022-06-09T04:18:15Z 2022-06-09T04:18:15Z 2022-05-01 2022-06-07T03:45:49Z Article Li, Zhifei, McIntyre, Roger S, Husain, Syeda F, Ho, Roger, Tran, Bach X, Nguyen, Hien Thu, Soo, Shuenn-Chiang, Ho, Cyrus S, Chen, Nanguang (2022-05-01). Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches. eBioMedicine 79 : 104027-. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ebiom.2022.104027 2352-3964 https://scholarbank.nus.edu.sg/handle/10635/226832 Elsevier BV Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	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
spellingShingle	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 Li, Zhifei McIntyre, Roger S Husain, Syeda F Ho, Roger Tran, Bach X Nguyen, Hien Thu Soo, Shuenn-Chiang Ho, Cyrus S Chen, Nanguang Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
description	10.1016/j.ebiom.2022.104027
author2	BIOMEDICAL ENGINEERING
author_facet	BIOMEDICAL ENGINEERING Li, Zhifei McIntyre, Roger S Husain, Syeda F Ho, Roger Tran, Bach X Nguyen, Hien Thu Soo, Shuenn-Chiang Ho, Cyrus S Chen, Nanguang
format	Article
author	Li, Zhifei McIntyre, Roger S Husain, Syeda F Ho, Roger Tran, Bach X Nguyen, Hien Thu Soo, Shuenn-Chiang Ho, Cyrus S Chen, Nanguang
author_sort	Li, Zhifei
title	Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
title_short	Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
title_full	Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
title_fullStr	Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
title_full_unstemmed	Identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
title_sort	identifying neuroimaging biomarkers of major depressive disorder from cortical hemodynamic responses using machine learning approaches
publisher	Elsevier BV
publishDate	2022
url	https://scholarbank.nus.edu.sg/handle/10635/226832
_version_	1800915419660288000

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

Similar Items