The results demonstrated that the decision tree model had strong predictive power for distinguishing ovarian cancer from benign ovarian tumors, and human epididymis protein 4 (HE4) and carcinoembryonic antigen (CEA) were valuable markers for ovarian cancer prediction [73]. The gene discussed is CEACAM5; the disease is ovarian cancer.