Detection Study of Bipolar Depression Through the Application of a Model-Based Algorithm in Terms of Clinical Feature and Peripheral Biomarkers

Detection Study of Bipolar Depression Through the Application of a Model-Based Algorithm in Terms of Clinical Feature and Peripheral Biomarkers

Objectives: The nature of the diagnostic classification of mood disorder is a typical dichotomous data problem and the method of combining different dimensions of evidences to make judgments might be more statistically reliable. In this paper, we aimed to explore whether peripheral neurotrophic fact...

Full description

Bibliographic Details
Main Authors: Yanqun Zheng, Shen He, Tianhong Zhang, Zhiguang Lin, Shenxun Shi, Yiru Fang, Kaida Jiang, Xiaohua Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-05-01
Series:Frontiers in Psychiatry
Subjects:
bipolar depression
model-based algorithm
neurotrophic factor
clinical feature
biomarker
Online Access:https://www.frontiersin.org/article/10.3389/fpsyt.2019.00266/full

Similar Items

Similar Items