Open AccessResearch on master data recognition of TCM based on analytic hierarchy process
Author(s) -
Yuhui Sang,
Shuanggui Tian
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1941/1/012020
Subject(s) - standardization , computer science , identification (biology) , field (mathematics) , process (computing) , data sharing , data quality , data management , data integration , information system , data science , information integration , information management , analytic hierarchy process , information sharing , data mining , quality (philosophy) , knowledge management , engineering , operations research , medicine , metric (unit) , world wide web , operations management , alternative medicine , philosophy , mathematics , pathology , biology , operating system , epistemology , botany , pure mathematics , electrical engineering
With the rapid development of information technology in the field of medical and health, the requirement for information sharing was higher and higher. TCM plays an irreplaceable role in promoting health development. The information of TCM was represented by the construction, application and data sharing of information system, and faced complicated problems. Data environment, standardized data management requirements and data standards were very important. In the field of TCM, the main line was about "TCM information integration standardization, TCM standards into information", while the main data was taken as the basis of data standardization. This paper through the investigation and summary of the existing information system and data items, according to theoretical research of main data recognition by scholars, discussed the main data identification method by using analytic hierarchy process, and extracted the main data, so as to improve quality of data management and optimize data management environment.