Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method

Creating machine learning models that interpretably link systemic inflammatory index, sex steroid hormones, and dietary antioxidants to identify gout using the SHAP (SHapley Additive exPlanations) method

BackgroundThe relationship between systemic inflammatory index (SII), sex steroid hormones, dietary antioxidants (DA), and gout has not been determined. We aim to develop a reliable and interpretable machine learning (ML) model that links SII, sex steroid hormones, and DA to gout identification.Meth...

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Bibliographic Details
Main Authors: Shunshun Cao, Yangyang Hu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-05-01
Series:Frontiers in Immunology
Subjects:
gout
systemic inflammation index
sex steroid hormones
dietary antioxidants
NHANES
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2024.1367340/full

Internet

https://www.frontiersin.org/articles/10.3389/fimmu.2024.1367340/full

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