Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure Diagrams

Dingju Zhu, Jianbin Tan, Guangbo Luo, Haoxiang Gu, Zhanhao Ye, Renfeng Deng, Keyi He, Kai-Leung Yung, Andrew W. H. Ip
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Abstract

So far, no research has used the partial order algorithm for the mining of hospital medical technology. This paper proposed a novel knowledge discovery method of hospital medical technology based on partial ordered structure diagrams, constructed attribute partial ordered structure diagram and object partial ordered structure diagram for the formal context constructed by hospital set and medical technology set, and finally analyzed them using the knowledge discovery method. The experiments show that the partial ordered structure diagram can effectively visualize the structural relationships between hospital sets and medical technology sets, and the distribution characteristics of medical technology sets in hospital sets and the rules of medical technology sets owned by hospital sets can be obtained based on the node, branch, and group structure relationships of the partial ordered structure diagram.
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基于部分有序结构图的医院医疗技术知识发现
到目前为止,还没有研究将偏序算法用于医院医疗技术的挖掘。提出了一种基于偏序结构图的医院医疗技术知识发现方法,对医院集和医疗技术集构造的形式上下文分别构造属性偏序结构图和对象偏序结构图,并利用知识发现方法对其进行分析。实验表明,偏序结构图能够有效地可视化医院集与医疗技术集之间的结构关系,基于偏序结构图的节点、分支和群结构关系,可以得到医院集中医疗技术集的分布特征以及医院集所拥有的医疗技术集的规则。
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