Based on the clinical data of 80 patients with advanced gastric cancer treated with integrated traditional Chinese and Western medicine,this paper attempts to construct a discriminant model for predicting the population type of advanced gastric cancer.Methods:A total of 80 patients with advanced gastric cancer admitted to Dongzhimen Hospital,Beijing University of Chinese Medicine,Beijing Huanxing Cancer Hospital,Beijing Sanhuan Cancer Hospital were selected as the research objects.The patients' survival time,general data,and clinical related data were observed and followed up.The survival time after diagnosis of stage Ⅳ was used as the dependent variable,and other variables related to survival time were used as independent variables to establish a Cox model to screen for statistically significant prognostic predictors.Combining with the classification standards of TCM beneficiaries,non-beneficiaries,and intermediate populations formulated in the previous stage,a discriminant model for the prediction of the population of advanced gastric cancer was constructed.Results:As of December 31,2018,a total of 80 patients with advanced gastric cancer were adopted,with 62 deaths,and 18 cases of loss.The linear discriminant model was correct for 57 patients,and the overall prediction accuracy was 71.25%.Among them,the prediction accuracy of non-beneficiary group was the highest (83.33%),followed by beneficiary group (81.08%) and middle group (59.46%).Conclusion:The fitted linear discriminant model has a high recognition rate for the beneficiary and non-beneficiary groups,and has a certain reference value for clinical treatment and patient prognosis.