Image 1_Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.tiff

Image 1_Interpretable machine learning algorithms reveal gut microbiome features associated with atopic dermatitis.tiff

Background<p>The “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.</p>Methods<p>The 16S rRNA dataset, a...

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Bibliographic Details
Main Author: Jingtai Ma (21225476) (author)
Other Authors: Yiting Fang (15233386) (author), Shiqi Li (800498) (author), Lilian Zeng (12267809) (author), Siyi Chen (6525728) (author), Zhifeng Li (1776799) (author), Guiyuan Ji (291243) (author), Xingfen Yang (478335) (author), Wei Wu (27708) (author)
Published: 2025
Subjects:
Genetic Immunology
machine learning
random forest
light gradient boosting machine
extreme gradient boosting
SHAP value
partial dependence plot
interpretable machine learning
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