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...
Bewaard in:
| Hoofdauteurs: | , |
|---|---|
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Frontiers Media S.A.
2024-05-01
|
| Reeks: | Frontiers in Immunology |
| Onderwerpen: | |
| Online toegang: | https://www.frontiersin.org/articles/10.3389/fimmu.2024.1367340/full |
| Tags: |
Geen labels, Wees de eerste die dit record labelt!
|