Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components-Reference-Cited by-同舟云学术

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Discriminating bipolar disorder from major depression based on kernel SVM using functional independent components

Published:2017-09 Issue: Volume: Page:
ISSN:
Container-title:2017 IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP)
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Author:

Gao Shuang,Osuch Elizabeth A.,Wammes Michael,Theberge Jean,Jiang Tian-Zi,Calhoun Vince D.,Sui Jing

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8122073/8168099/08168110.pdf?arnumber=8168110

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An insight into diagnosis of depression using machine learning techniques: a systematic review;Current Medical Research and Opinion;2022-02-17

2. A neural network approach to optimising treatments for depression using data from specialist and community psychiatric services in Australia, New Zealand and Japan;Neural Computing and Applications;2022-01-13

3. Depression detection from sMRI and rs-fMRI images using machine learning;Journal of Intelligent Information Systems;2021-08-02

4. Novel Classification Modelling for Bipolar Disorder Using Non-verbal Attributes for Classification;Communications in Computer and Information Science;2021

5. The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review;Expert Systems;2020-10-15

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