基于一种神经网络算法的体检指标与中医体质类型的关联性研究

Conducting a Correlation Model Between TCM Constitution and Physical Examination Index Based on BPNN Algorithm

摘要: 本研究基于BPNN算法建立了中医体质辨证与体检指标的关联模型。运用BPNN算法分析253例尿常规指标，构建中医体质与体检指标关联模型。该关联性模型经过测试验证，学习组和测试组的正确率分别为60%和40%，证明中医体质与体检指标之间有较强关联性，为中医治未病的现代化进程提供参考。

Abstract: This paper studies the correlation between Traditional Chinese Medicine (TCM) Constitution discrimination and physical examination index based on BPNN algorithm. 253 cases of routine urine test were used to build a linkage model between TCM Constitution and physical indicators via BPNN algorithm. According to the test, the correct rate of learning and test group are 60% and 40%, respectively. A strong correlation was found between TCM Constitution and physical examination indexes. By applying cutting-edge knowledge and technologies, the development and modernization process of TCM can be greatly promoted.