基于中医体质与体检指标相关性的中医体质辨识系统

Constitution Identification System for Traditional Chinese Medicine (TCM)Based on Correlation Between TCM Constitution and Physical Examination Indices

摘要:
目的基于特征和反向传播神经网络理论的体质辨识在现代医学和中医学中尤为重要，为此构建一种基于中医体质分类和物理指标模型的体质辨识方法。
方法利用VisioStudio开发工具建立一个基于神经网络的体质识别系统，并通过实际数据验证该系统的准确性。
结果该中医体质辨识系统测试结果表明中医体质与体检指标之间存在较强的关联性。
结论本研究开发的系统可为中医体质辨识提供应用性。

Abstract:
ObjectiveIdentification of one's constitution based on a combination of features and back propagation neural network theory is needed in modern medicine and traditional Chinese medicine (TCM). We describe a method to identify one's constitution based on TCM constitution classification and a physical index model.
MethodsWe created a constitution identification system based on neural network using Visio Studio development tool. We report the initial implementation of the system, the accuracy of which was verified using actual data.
ResultsWe found a relatively strong correlation between TCM constitution and physical indicators.
Conclusion Finally, our report describes a possible application of the proposed system.