Objective,2,To establish and evaluate a nomogram prediction model for traditional Chinese medicine（TCM） syndromes of menopause-like syndrome in patients who have undergone endocrine therapy after breast cancer surgery.,Methods,2,According to the standard of TCM syndrome differentiation， patients with menopause-like syndrome after endocrine therapy for postoperative breast cancer were divided into Chongren imbalance syndrome， liver-qi stagnation syndrome， toxic heat accumulation syndrome and qi and blood deficiency syndrome. The general data such as tumor TNM stage， sex hormone receptor types， endocrine therapy duration， related laboratory indicators， Karnofsky scores and Kupperman improved symptom scores were analyzed and compared. On this basis， a nomogram prediction model of TCM syndromes was established， and a model calibration curve and a receiver operating characteristic （ROC） curve were made to evaluate the model.,Results,2,①A total of 180 patients with menopause-like syndrome after endocrine therapy for postoperative breast cancer surgery were included， including 54 cases of Chongren imbalance syndrome， 34 cases of liver-qi stagnation syndrome， 44 cases of toxic heat accumulation syndrome， and 48 cases of qi and blood deficiency syndrome. ②There were significant differences in tumor TNM stage， sex hormone receptor types， endocrine therapy duration， serum estrogen （E,2,） level， Kupperman improved symptom total score， and each sub-score including urinary tract infection and sexual life status among patients with different TCM syndromes （,P,<,0.05 ）. ③The predictive variables of Chongren imbalance syndrome were TG and tumor stage. The predictive variables of liver-qi stagnation syndrome were E,2, level and tumor stage. The predictive variable of toxic heat accumulation syndrome was endocrine therapy duration. The predictive variables of qi and blood deficiency syndrome were bone and joint pain， tumor stage and sex hormone receptor. The nomogram prediction model of each TCM syndrome was established by using the above predictive variables. According to the comprehensive evaluation of ROC curve and calibration curve of the prediction model， the above-mentioned prediction model of each TCM syndrome showed good predictive ability， calibration ability， and high diagnostic value.,Conclusions,2,The nomogram for predicting TCM syndromes of menopause-like syndrome after endocrine therapy for postoperative breast cancer can visualize the relevant predictive variables. The establishment of TCM syndrome nomogram prediction model based on predictive variables can predict the incidence of each TCM syndrome， and the nomogram has reference value for the diagnosis of TCM syndromes.