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.

Journal: Frontiers in immunology

PMID: 38751428

Abstract

BACKGROUND: The 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.

Authors

Shunshun Cao

Pediatric Endocrinology, Genetics and Metabolism, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Yangyang Hu

Reproductive Medicine Center, Obstetrics and Gynecology, The Second Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.

Keywords

Adult Aged Antioxidants Diet Female Gonadal Steroid Hormones Gout Humans Inflammation Machine Learning Male Middle Aged Nutrition Surveys

External Resources

View on PubMed Access via DOI PubMed (38751428)

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.

Abstract

Authors

Keywords

External Resources

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