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, Wai Hung Ip

Research output: Journal article publicationJournal articleAcademic researchpeer-review

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.
Original languageEnglish
Article number99
Number of pages16
JournalInternational Journal of Software Science and Computational Intelligence (IJSSCI)
Volume15
Issue number1
DOIs
Publication statusPublished - 24 Mar 2023

Keywords

  • Common Attribute
  • Data Analysis
  • Data Visualization
  • Formal Context
  • Knowledge Discovery
  • Medical Technology Set
  • Partial Ordered Structure Diagram
  • Unique Attribute

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