中医数字辨证配套医案智能采集与分析系统构建研究

Research on Construction of Intelligent Acquisition and Analysis System of Supporting Medical Cases for Traditional Chinese Medicine Digital Syndrome Differentiation

中医数字辨证是中医智能辅助诊断的核心,辨证模型的质量直接影响辨证的准确度和效率。为了建立中医数字辨证模型并验证其准确度,需要准备大量的配套医案。根据中医数字辨证模型对医案的需求,设计了中医数字辨证配套医案智能采集与分析系统,利用人工智能技术和Python编程技术实现了医案采集、医案展示、医案检索、数据统计分析及可视化等功能,有助于快速采集并筛选出符合条件的中医医案,提高中医数字辨证模型的创建效率和质量。

The digital syndrome differentiation of TCM is the core of intelligent assistant diagnosis of TCM. The quality of syndrome differentiation model directly affects the accuracy and efficiency of syndrome differentiation. In order to establish the digital syndrome differentiation model of TCM and verify its accuracy, a large number of supporting medical cases need to be prepared. According to the requirement of TCM digital syndrome differentiation model for medical cases, an intelligent acquisition and analysis system of supporting medical cases for TCM digital syndrome differentiation was designed. Using artificial intelligence technology and Python programming technology, the functions of medical cases collection, medical cases display, medical cases retrieval, data statistical analysis and visualization were realized, which are helpful to quickly collect and screen qualified TCM medical cases, and to improve the efficiency and quality of the establishment of TCM digital syndrome differentiation model.