Hello everyone, I am Weixue AI. Today I will introduce you to the practical application of knowledge graph 26-the application of Chinese medicine query and recommendation items in "Compendium of Materia Medica" based on knowledge graph. This article connects to the knowledge graph database through Py2neo, and the system realizes the traditional Chinese medicine Features such as quick query, relationship analysis, intelligent recommendation and knowledge display. Users can enter the name or characteristics of traditional Chinese medicine for query, and the system will retrieve relevant information from the knowledge map and return the matching traditional Chinese medicine. Using the graph database function provided by Py2neo, the relationship between traditional Chinese medicines can be analyzed to reveal their attribute relationships, interactions and pharmacological associations. Based on the knowledge map and graph algorithm, the system can intelligently recommend traditional Chinese medicines that meet the needs of users. In addition, through the map display tool, users can visually browse the classification, properties, efficacy and preparations of traditional Chinese medicines. These functions provide strong support for the research and application of traditional Chinese medicine. This project is expected to provide new ideas and methods for further research and application in the field of traditional Chinese medicine.
Table of contents
- introduction
- Project Background and Application Scenarios
- Technical architecture and implementation plan
- Detailed implementation steps
- data preparation
- Build knowledge graph
- Chinese medicine query application
- Recommended application of traditional Chinese medicine
- Complete code implementation
- in conclusion
1 Introduction
With the development of science and technology, artificial intelligence has penetrated into many fields such as medical care, education, and finance. In this article, we will explore the application of knowledge graph based on Py2neo and Neo4j in Chinese medicine query and recommendation project. Based on the herbal medicine data in "Compendium of Materia Medica", we will build a knowledge map and realize the query and recommendation functions of traditional Chinese medicine.
2. Project background and application scenarios
"Compendium of Materia Medica" is the work of Li Shizhen, a medical scientist in the Ming Dynasty. It is a treasure of medicine and contains rich knowledge of traditional Chinese medicine. Apply these valuable traditional Chinese medicine data to the knowledge map