In conclusion, this study demonstrates the substantial clinical utility of the random forest algorithm in differentiating RA-SS from SS-PA, with the identification of key discriminatory parameters including anti-CCP and RF levels, erosive joint count, anti-SSA/Ro60 positivity, and CRP value. This evidence concerns the gene CALR and rheumatoid arthritis.