Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

Identification of bipolar disorder using a combination of multimodality magnetic resonance imaging and machine learning techniques

Abstract Background Bipolar disorder (BPD) is a common mood disorder that is often goes misdiagnosed or undiagnosed. Recently, machine learning techniques have been combined with neuroimaging methods to aid in the diagnosis of BPD. However, most studies have focused on the construction of classifier...

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Bibliographic Details
Main Authors: Hao Li, Liqian Cui, Liping Cao, Yizhi Zhang, Yueheng Liu, Wenhao Deng, Wenjin Zhou
Format: Article
Language:English
Published: BMC 2020-10-01
Series:BMC Psychiatry
Subjects:
Bipolar disorder
Multimodality magnetic resonance imaging
Support vector machine
Online Access:http://link.springer.com/article/10.1186/s12888-020-02886-5

Internet

http://link.springer.com/article/10.1186/s12888-020-02886-5

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