Article: [Studies on the methodology for quality control in Chinese medicine manufacturing process based on knowledge graph].
Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica
2020 Volume 44, Issue 24, Page(s) 5269–5276
Abstract: According to the requirements for developing the quality control technology in Chinese medicine( CM) manufacturing process and the practical scenarios in applying a new generation of artificial intelligence to CM industry,we present a method of ... ...
Abstract | According to the requirements for developing the quality control technology in Chinese medicine( CM) manufacturing process and the practical scenarios in applying a new generation of artificial intelligence to CM industry,we present a method of constructing the knowledge graph( KG) for CM manufacture to solve key problems about quality control in CM manufacturing process.Based on the above,a " pharmaceutical industry brain" model for CM manufacture has been established. Further,we propose founding the KG-based methodology for quality control in CM manufacturing process,and briefly describe the design method,system architecture and main functions of the KG system. In this work,the KG for manufacturing Shuxuening Injection( SXNI) was developed as a demonstration study. The KG version 1. 0 platform for intelligent manufacturing SXNI has been built,which could realize technology leap of the quality control system in CM manufacturing process from perceptual intelligence to cognitive intelligence. |
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MeSH term(s) | Artificial Intelligence ; Drug Industry/standards ; Drugs, Chinese Herbal/standards ; Medicine, Chinese Traditional/standards ; Pattern Recognition, Automated ; Quality Control ; Technology, Pharmaceutical |
Chemical Substances | Drugs, Chinese Herbal ; shuxuening |
Language | Chinese |
Publishing date | 2020-04-01 |
Publishing country | China |
Document type | Journal Article |
ZDB-ID | 1004649-5 |
ISSN | 1001-5302 ; 0254-0029 |
ISSN | 1001-5302 ; 0254-0029 |
DOI | 10.19540/j.cnki.cjcmm.20191203.302 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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