Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine

Predicting SSRI-Resistance: Clinical Features and tagSNPs Prediction Models Based on Support Vector Machine

BackgroundA large proportion of major depressive patients will experience recurring episodes. Many patients still do not response to available antidepressants. In order to meaningfully predict who will not respond to which antidepressant, it may be necessary to combine multiple biomarkers and clinic...

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Bibliographic Details
Main Authors: Huijie Zhang, Xianglu Li, Jianyue Pang, Xiaofeng Zhao, Suxia Cao, Xinyou Wang, Xingbang Wang, Hengfen Li
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Psychiatry
Subjects:
recurrent major depressive disorder
selective serotonin reuptake inhibitor-resistance
support vector machine
tagSNPs
prediction models
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2020.00493/full

Internet

https://www.frontiersin.org/article/10.3389/fpsyt.2020.00493/full

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