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Knowledge Discovery of Hospital Medical Technology Based on Partial Ordered Structure Diagrams
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Author(s): Dingju Zhu (South China Normal University, China), Jianbin Tan (South China Normal University, China), Guangbo Luo (First Clinical Medical College, Guangzhou University of Chinese Medicine, China), Haoxiang Gu (University of Alberta, Canada), Zhanhao Ye (South China Normal University, China), Renfeng Deng (South China Normal University, China), Keyi He (South China Normal University, China), KaiLeung Yung (Hong Kong Polytechnic University, China)and Andrew W. H. Ip (University of Saskatchewan, Canada)
Copyright: 2023
Volume: 15
Issue: 1
Pages: 16
Source title:
International Journal of Software Science and Computational Intelligence (IJSSCI)
Editor(s)-in-Chief: Brij Gupta (Asia University, Taichung City, Taiwan)and Andrew W.H. Ip (University of Saskatchewan, Canada)
DOI: 10.4018/IJSSCI.320499
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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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