Development of a 32-gene signature using machine learning for accurate prediction of inflammatory bowel disease

Development of a 32-gene signature using machine learning for accurate prediction of inflammatory bowel disease

Abstract Inflammatory bowel disease (IBD) is a chronic inflammatory condition caused by multiple genetic and environmental factors. Numerous genes are implicated in the etiology of IBD, but the diagnosis of IBD is challenging. Here, XGBoost, a machine learning prediction model, has been used to dist...

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Bibliographic Details
Main Authors: Shicheng Yu, Mengxian Zhang, Zhaofeng Ye, Yalong Wang, Xu Wang, Ye-Guang Chen
Format: Article
Language:English
Published: SpringerOpen 2023-01-01
Series:Cell Regeneration
Subjects:
IBD
XGBoost
Signature genes
AI prediction
Biomarker
Online Access:https://doi.org/10.1186/s13619-022-00143-6

Internet

https://doi.org/10.1186/s13619-022-00143-6

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