Knowledge reasoning and intelligent recommendation based on knowledge map of Chinese patent medicine

Corresponding author: Zhao Hanqing, zhhqtt@163.com

DOI: 10.12201/bmr.202404.00018

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  Abstract: Purpose/Significance Construct the knowledge map of Chinese patent medicine instructions and realize intelligent recommendation based on knowledge reasoning.Method/Process Based on the technology of Py2neo combined with Neo4j graph database to build knowledge graph, the information of 1380 kinds of proprietary Chinese medicines in the National Essential Drugs catalog (2018 edition) and the National Medical Insurance Drug catalog (2022 edition) was sorted out and the database was built. Knowledge reasoning was realized based on the three-way closure algorithm, and the recommendation score of proprietary Chinese medicines was calculated by probability model.Result/Conclusion In this study, 11103 entity concepts and 24 semantic relationships were formed. The knowledge map of intelligent recommendation of Chinese patent medicine was constructed, and the intelligent recommendation platform of Chinese patent medicine was built to realize accurate recommendation of Chinese patent medicine. The combination of traditional Chinese medicine and knowledge map is realized, which provides a method reference for traditional Chinese medicine auxiliary diagnosis and treatment, and provides a reference for further research on knowledge visualization of traditional Chinese medicine.

  Key words: Chinese patent medicine; Knowledge map; Database; Knowledge reasoning; Intelligent recommendation

  Submit time: 10 April 2024

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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