基于中医疗效评价的交互式数据挖掘框架

设计并实现了基于小儿肺炎中医疗效评价的交互式数据挖掘框架。该框架采用数据挖掘、数理统计和逻辑分析相结合的方法，通过回顾性和前瞻性多角度的验证与比较研究，揭示各证和所属症状之间的关联性，不仅突破了传统的疗效评价方法的限制，而且优化了疗效规范，建立了客观的、人机交互可度量的病证结合的疗效评价体系。

Interactive Data Mining Framework Based on Chinese Medicine Therapeutic Evaluation

The paper designs and implements interactive data mining framework based on therapeutic evaluation of childrens’ pneumonia. Combining data mining, mathematical statistic with logic analysis framework, the discovery the associations between zheng with symptoms by retrospective analysis and forward looking study. The paper not only breaks through the limitation of traditional therapeutic evaluation method, but also optimizes therapeutic criteria by building the objective, interactive, metrizable therapeutic evaluation system.