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[Studies on the methodology for quality control in Chinese medicine manufacturing process based on knowledge graph].
Zhong, Yi; Ru, Chen-Lei; Zhang, Bo-Li; Cheng, Yi-Yu.
Afiliação
  • Zhong Y; Department of Chinese Medicine Science & Engineering,Zhejiang University Hangzhou 310058,China.
  • Ru CL; Department of Chinese Medicine Science & Engineering,Zhejiang University Hangzhou 310058,China.
  • Zhang BL; State Key Laboratory of Component Chinese Medicine,Tianjin University of Traditional Chinese Medicine Tianjin 300193,China.
  • Cheng YY; Department of Chinese Medicine Science & Engineering,Zhejiang University Hangzhou 310058,China State Key Laboratory of Component Chinese Medicine,Tianjin University of Traditional Chinese Medicine Tianjin 300193,China.
Zhongguo Zhong Yao Za Zhi ; 44(24): 5269-5276, 2019 Dec.
Article em Zh | MEDLINE | ID: mdl-32237367
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Controle de Qualidade / Inteligência Artificial / Tecnologia Farmacêutica / Indústria Farmacêutica / Medicina Tradicional Chinesa Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Zhongguo Zhong Yao Za Zhi Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Controle de Qualidade / Inteligência Artificial / Tecnologia Farmacêutica / Indústria Farmacêutica / Medicina Tradicional Chinesa Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: Zh Revista: Zhongguo Zhong Yao Za Zhi Ano de publicação: 2019 Tipo de documento: Article