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Application of big data technology in the medical field
- 1 Beijing Forestry University
* Author to whom correspondence should be addressed.
Abstract
This project aims to construct a knowledge graph system applied to the field of traditional Chinese medicine (TCM) by extracting entities (such as drugs, diseases, etc.) and their relationships from TCM medical case data and storing them in a Neo4j database. The project process includes data reading, entity recognition and extraction, data formatting, and data import into the database. The project not only improved the individual's proficiency in Python data processing techniques (including regular expressions and JSON parsing) but also enhanced their skills in knowledge graph construction and database operations. In the future, there is a desire to further improve technical capabilities, explore more cutting-edge technologies in the TCM field, and promote project progress through collaboration, contributing to the modernization of TCM and intelligent healthcare services.
Keywords
TCM knowledge graph, entity recognition technology, Neo4j database, application of knowledge graph
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Cite this article
Hou,R. (2024). Application of big data technology in the medical field. Advances in Engineering Innovation,8,70-80.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Journal：Advances in Engineering Innovation
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