Open AccessApplication of Big Data Technology in Extracting Information Analysis of Traditional Chinese Medicine
Author(s) -
Jing Sun,
Meng Xin-xin
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 - 10.1088/1742-6596/1881/4/042050
Subject(s) - big data , traditional chinese medicine , computer science , cluster analysis , apriori algorithm , data science , data mining , data extraction , association rule learning , artificial intelligence , medline , medicine , alternative medicine , pathology , political science , law
With the advent of the Internet, big data has penetrated into all aspects of life. In such an environment, Chinese medicine needs not only inheritance, but also advance with the times, innovative thinking and technology. This article takes big data processing and analysis as the goal, and analyzes the application scenarios of big data in Chinese medicine analysis. The model adopts APRIORI algorithm and text clustering, which improves the application of big data technology in the analysis of information extraction of traditional Chinese medicine. The test results of traditional Chinese medicines show that the use of basic big data to process the data, combined with the K-Means text clustering calculation method, the scientific conclusions obtained in the medical and health industry application rate has increased by 18%, these conclusions provide a certain degree for Chinese medicine manufacturers Help to improve production efficiency and product quality. However, the basic large database of Chinese medicine in my country has not been established, which makes the use of big data unable to be fully implemented.