CAJ | 학술논문

方证研究是中医领域研究的热点，但方证之间数据量大，复杂度高，传统的数据挖掘方法面对海量的中医数据显得力不从心。随着大数据时代的到来，大数据的理念和技术为中医知识的充分研究带来机遇。本文基于形式概念分析的属性偏序表示原理，运用属性偏序结构图揭示方证的特征症状，对挖掘中医经典的科学内涵、促进学术创新有一定的借鉴价值。
방증연구시중의영역연구적열점，단방증지간수거량대，복잡도고，전통적수거알굴방법면대해량적중의수거현득력불종심。수착대수거시대적도래，대수거적이념화기술위중의지식적충분연구대래궤우。본문기우형식개념분석적속성편서표시원리，운용속성편서결구도게시방증적특정증상，대알굴중의경전적과학내함、촉진학술창신유일정적차감개치。
The research on prescription and syndrome is the research hotspot in TCM. But the large scale and complex data of pre-scriptions and syndromes becomes a barrier to the traditional data mining technology. With the advent of the era of big data, the concept and technology of big data provides an opportunity for the adequate research of TCM knowledge. Based on the partial ord-ered structure theory of formal concept analysis, partial ordered structure diagram is used to reveal the characteristic symptoms of prescriptions and syndromes, which has reference value in the exploration of scientific connotation of TCM classics and the pro-motion of academic innovations.