A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data

A machine learning model for predicting patients with major depressive disorder: A study based on transcriptomic data

BackgroundIdentifying new biomarkers of major depressive disorder (MDD) would be of great significance for its early diagnosis and treatment. Herein, we constructed a diagnostic model of MDD using machine learning methods.MethodsThe GSE98793 and GSE19738 datasets were obtained from the Gene Expressi...

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Bibliographic Details
Main Authors: Sitong Liu, Tong Lu, Qian Zhao, Bingbing Fu, Han Wang, Ginhong Li, Fan Yang, Juan Huang, Nan Lyu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-08-01
Series:Frontiers in Neuroscience
Subjects:
major depressive disorder
machine learning
random forest
artificial neural network
bioinformatics analysis
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.949609/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.949609/full

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