Using deep learning to classify pediatric posttraumatic stress disorder at the individual level



Yang, Jing, Lei, Du, Qin, Kun, Pinaya, Walter HL, Suo, Xueling, Li, Wenbin, Li, Lingjiang, Kemp, Graham J ORCID: 0000-0002-8324-9666 and Gong, Qiyong
(2021) Using deep learning to classify pediatric posttraumatic stress disorder at the individual level. BMC PSYCHIATRY, 21 (1).

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Item Type: Article
Uncontrolled Keywords: Deep learning, Posttraumatic stress disorder, Graph measure, Topological properties, Classification Psychoradiology, Psychoradiology
Divisions: Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Institute of Life Courses and Medical Sciences
Depositing User: Symplectic Admin
Date Deposited: 17 Nov 2021 09:17
Last Modified: 05 Oct 2022 20:30
DOI: 10.1186/s12888-021-03503-9
Open Access URL: https://bmcpsychiatry.biomedcentral.com/articles/1...
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3143312