中华中医药学刊2025，Vol.43Issue(3)：19-23,后插2,6.DOI:10.13193/j.issn.1673-7717.2025.03.004
基于人工智能的癌痛中医辨证模型构建研究
Study on Construction of TCM Syndrome Differentiation Model of Cancer Pain Based on Artificial Intelligence
摘要
Abstract
Objective To establish the TCM syndrome differentiation model of cancer pain based on artificial intelligence,so as to provide basis for the development of TCM syndrome differentiation of cancer pain.Methods The TCM medical record data of cancer pain was collected from CNKI,VIP Chinese Science and Technology periodical Database,Wanfang database,China Biology Medicine disc,and Ancient and Modern Medical Record Cloud Platform from the embellishment time up to September 2023.Ma-chine learning algorithms,such as linear support vector classification(LSVC),nearest centroid(NC),multinomial Na?ve Bayes(MNB),random forest(RF),stochastic gradient descent(SGD)and multilayer perceptron(MLP)were used to quantitatively an-alyze the data set,and the syndrome differentiation model of cancer pain was established.The model was evaluated by 5-fold cross validation.The evaluation indexes included Accuracy,Precision,Recall,F1 score and AUC value.Results There were 72 input variables and 6 output variables for TCM syndromes of cancer pain.The Accuracy,Precision,Recall and F1 score of the six models were all above 0.89,and the AUC value was above 0.94.Among them,the Accuracy,Precision and Recall of the nearest centroid model were the highest.The Accuracy,precision,recall and F1 score were 0.978,0.980,0.978 and 0.977,respective-ly,and the AUC value was 0.986,which was higher than other algorithm models.The TCM interpretation of the parameters basi-cally accorded with the principle of TCM diagnosis.Conclusion The TCM syndrome differentiation model of cancer pain based on the nearest centroid algorithm model has high diagnosis and prediction ability,which can provide reference for clinical workers to carry out TCM intelligent syndrome differentiation of cancer pain.关键词
人工智能/机器学习/癌痛/中医辨证模型/医案/辨证Key words
artificial intelligence/machine learning/cancer pain/TCM syndrome differentiation model/medical records/syn-drome differentiation分类
医药卫生引用本文复制引用
吴冰,张柳柳,郭永安,钱琪杰,吴静..基于人工智能的癌痛中医辨证模型构建研究[J].中华中医药学刊,2025,43(3):19-23,后插2,6.基金项目
国家自然科学基金青年科学基金项目(82203171) （82203171）
江苏省中医药科技发展计划项目(MS2021097) （MS2021097）
江苏省卫生健康委员会干部保健课题项目(BJ23023) （BJ23023）
江苏省卫生健康委科研项目(M2021114) （M2021114）
