Fig. 6From: Diagnostic model based on bioinformatics and machine learning to distinguish Kawasaki disease using multiple datasetsGene expression validation and performance evaluation of classification model by genes from the neuralKD model. a Expression of VPS9D1, CACNA1E, SH3GLB1, RAB32, ADM, GYG1, PGS1, and HIST2H2AC in GSE63881. Blue: Convalescent group and Red: Kawasaki disease group. b AUC verification results with the GSE63881 dataset, which achieved an AUC of 0.945. c Expression of VPS9D1, CACNA1E, SH3GLB1, RAB32, ADM, GYG1, PGS1, and HIST2H2AC in GSE73463. Blue: Convalescent group and Red: Kawasaki disease group. d AUC verification results with the GSE73463 dataset, which achieved an AUC of 0.95Back to article page