Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis

BackgroundThe “gut–skin axis” has been proposed to play an important role in the development and symptoms of atopic dermatitis. Therefore, we have constructed an interpretable machine learning framework to quantitatively screen key gut flora.MethodsThe 16S rRNA dataset, after applying the centered l...

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Bibliographic Details
Main Authors: Jingtai Ma, Yiting Fang, Shiqi Li, Lilian Zeng, Siyi Chen, Zhifeng Li, Guiyuan Ji, Xingfen Yang, Wei Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Immunology
Subjects:
machine learning
random forest
light gradient boosting machine
extreme gradient boosting
SHAP value
partial dependence plot
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2025.1528046/full
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https://www.frontiersin.org/articles/10.3389/fimmu.2025.1528046/full

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