数字中医药（英文）2018，Vol.1Issue(1)：84-89,6.
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
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.关键词
BPNN算法/中医体质/体检指标/关联模型/治未病Key words
BPNN algorithm/Constitution of TCM/Physical examination target/Relational model/Preventive treatment of disease引用本文复制引用
罗悦,林冰,温川飙,罗茂..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[J].数字中医药（英文）,2018,1(1):84-89,6.基金项目
We thank for the funding support from the Young Talents for research on Traditional Chinese Medicine Science and Technology in Sichuan (No.2016Q065). （No.2016Q065）
