Construction of a neural network diagnostic model and investigation of immune infiltration characteristics for Crohn’s disease

Construction of a neural network diagnostic model and investigation of immune infiltration characteristics for Crohn’s disease

Objective: Crohn’s disease (CD), a chronic recurrent illness, is a type of inflammatory bowel disease whose incidence and prevalence rates are gradually increasing. However, there is no universally accepted criterion for CD diagnosis. The aim of this study was to create a diagnostic prediction model...

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Bibliographic Details
Main Authors: Yufei Yang, Lijun Xu, Yuqi Qiao, Tianrong Wang, Qing Zheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Genetics
Subjects:
inflammatory bowel disease
Crohn’s disease
immune cells
bioinformatics
artificial neural network model
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2022.976578/full

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