The combination of manual and automated screening predictors (CAD/CHF, stage 3–5 CKD, BUN, CRP, LY#, and NLR) did not improve the sensitivity and specificity of generated neural networks, as none of them contested AUROC of 0.85 at primary cross-validation (Table S5). This evidence concerns the gene CRP and chronic kidney disease.