After overlapping the machine learning results of the two databases, we generated a two-gene risk assessment model consisting of YTHDF1 and HNRNPC, and showed good performance in predicting the occurrence of ESCC. The gene discussed is YTHDF1; the disease is esophageal squamous cell carcinoma.