In this study, the differential GSLMRGs of keloid and the top ten genes with the highest importance from machine learning algorithms Random Forest and SVM-RFE were intersected, and six candidate GSLMRGs were identified: ARSA, GBA2, SUMF2, GLTP, GALC, and HEXB. This evidence concerns the gene HEXB and keloid.