Mining and auxiliary decision intelligent system for traditional Chinese medicine text medical records

Abstract

The invention discloses a mining and auxiliary decision intelligent system for traditional Chinese medicine text medical records and relates to the technical field of natural language processing and traditional Chinese medicine diagnosis auxiliary information. The system is based on unstructured text medical record of real standard clinic medical record; automatic traditional Chinese medicine principle-method-recipe-medicines, treatment according to syndrome differentiation and knowledge extraction and expression are realized; the system comprises a database which is in a rear end server and traditional Chinese medicine and pharmacy knowledge atlas on-line\off-line applications in a front end computer; major formulas, symptom pairs, syndromes, traditional Chinese medicine pathogenesis evolution rule and data links of mutual relation among the above knowledge elements are stored in the database according certain data storage structure. Through the map node retrieval, node set retrieval and area positioning of the traditional Chinese medicine and pharmacy knowledge atlas, the obtained analysis results are mixed with features such as directed network, semantic distance, coordinate setting and topology analysis based on hierarchical cluster, which greatly increases the discovery capability of major formulas, symptom pairs, syndromes, traditional Chinese medicine pathogenesis evolution rule and mutual relation among the above knowledge elements.

Description

technical field [0001] The invention relates to the technical field of auxiliary information for diagnosis of traditional Chinese medicine, in particular to an intelligent system for excavating medical records of traditional Chinese medicine and assisting decision-making. Background technique [0002] Traditional Chinese medicine practitioners need to have comprehensive knowledge reserves and rich diagnostic experience to calmly deal with complex and changeable clinical situations. Therefore, the accuracy and speed of diagnosis by junior doctors are limited by personal experience. At the same time, well-known Chinese medicine practitioners and senior doctors have accumulated a lot of diagnosis and treatment experience and proven prescriptions, but due to time and space constraints, they cannot be immediately transformed into explicit knowledge for reference. In recent years, many medical knowledge graphs have been published, extracting knowledge elements from medical diagnos...

AI Technical Summary

Problems solved by technology

However, considering the source, the update speed of medical guidelines and dictionaries is slow, and the coverage is limited, which cannot meet the complex and changeable clinical decision-making needs; from the functional point of view, the existing knowledge base only achieves the integration and query of the existing relationships of knowledge elements , does not involve the discovery and analysis of potential associations; from the perspective of visualization, the query results of the existing knowledge base are mainly text, and the statistical information of the results is relatively simple and inconvenient for further query such as screening and secondary retrieval

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