CAJ | 학술논문

为探索以数据库为核心数据智能整合，以数据挖掘为核心的知识发现等智能整合及应用。在现有临床科研信息共享平台基础上，从结构化电子病历智能整合、数据整合、多种数据挖掘方法整合等方面阐述。以慢性阻塞性肺疾病急性加重期证候分布及证候诊断标准的验证方法学研究为示范研究，进行数据整合，利用水晶报表和复杂网络智能优化，挖掘出证-症、病-证-中药关联度。以上分析说明基于共享系统，根据研究方案，数据智能整合，挖掘方法的智能整合，提高共享平台的应用功能，实践证明是可行的。
위탐색이수거고위핵심수거지능정합，이수거알굴위핵심적지식발현등지능정합급응용。재현유림상과연신식공향평태기출상，종결구화전자병력지능정합、수거정합、다충수거알굴방법정합등방면천술。이만성조새성폐질병급성가중기증후분포급증후진단표준적험증방법학연구위시범연구，진행수거정합，이용수정보표화복잡망락지능우화，알굴출증-증、병-증-중약관련도。이상분석설명기우공향계통，근거연구방안，수거지능정합，알굴방법적지능정합，제고공향평태적응용공능，실천증명시가행적。
This article was aimed to explore the intelligent integration of database as the core-data and application of data mining as the core of knowledge discovery. On the basis of the existed set of information-sharing platform, this article elaborated from aspects of formatting HER intelligent integration, data integration and multi-method combined data mining intelligent integration. With the demonstration study on syndrome distribution and syndrome diagnostic criteria of acute exacerbations of chronic obstructive pulmonary disease (AECOPD), data integration and intelligence optimization of Crystal Reports and complex networks were applied to dig out the correlation between syndromes and symptoms, disease-syndromes-herb association analysis. Analysis mentioned above showed that based on the shared system, and in accordance to research programs, intelligent integration of data and data mining methods, the improvement of the sharing platform application is proved feasible.