摘要
目的针对中医诊断糖尿病中症状描述的模糊性和不完备性,提出了一种基于模糊覆盖集的糖尿病中医分类算法,建立了一种糖尿病中医辩证模型。实验结果表明,使用本法得出的辅助诊断结果能较好的覆盖医生诊断结果,缩小了证候的范围。从而使诊断结果自动化、客观化,减轻中医医师诊断病人的工作量。
Aiming at the disadvantages of indistinct and incomplete description of diabetes in traditional Chinese medicine （TCM）, a syndrome differentiation method based on fuzzy inference model and parsimonious covering theory was proposed, and a differentiation model was established in this study. The experiments illuminate that the results from this differentiation model well cover the results from doctor, and narrow the syndrome range. This model could lessen TCM doctor＇s work burden, and improve the accuracy by comparing the results from the model and doctors.
出处
《生物医学工程学进展》
CAS
2009年第1期20-24,共5页
Progress in Biomedical Engineering
基金
上海市重点学科项目(06SP07002)
关键词
糖尿病
模糊
覆盖集
中医辨证
Diabetes,Fuzzy Inference, Parsimonious Coveting Theory,TCM Syndrome Differentiation
