Knowledge base construction method and system for intelligent clinical assistant decision making supporting system

Abstract

The invention provides a knowledge base construction method and system for an intelligent clinical assistant decision making supporting system, and relates to the field of knowledge base construction. The method comprises the steps that input information is acquired, word segmenting processing, part-of-speech tagging and grammatical analysis are conducted on the input information, a relational dependence tree is acquired, and concepts, entities and entity modifiers in the relational dependence tree are extracted; the relation among all the entities in the relational dependence tree is acquired through relational semantic rules according to the concepts, the entities and the entity modifiers; an extending ternary group is set, the relation among all the entities in the relational dependence tree is stored through the extending ternary group, and then knowledge base construction is completed. The method and the system can be applied to the condition of more clinical examples and characteristics and can be flexibly expanded for case description information.

Description

technical field [0001] The invention relates to the field of knowledge base construction, in particular to a knowledge base construction method and system for an intelligent clinical assistant decision support system. Background technique [0002] Intelligent Clinical Decision Support System CDSS (Clinical Decision Support System) uses information technology and intelligent technology to analyze electronic cases, based on databases and knowledge bases, to provide information services for doctors to make clinical diagnosis decisions, improve medical quality, reduce medical errors, and control medical treatment. Expenses. With the help of CDSS, clinicians can obtain more comprehensive and detailed information and knowledge by in-depth analysis of medical records, and make appropriate diagnosis and treatment decisions. A key foundation of CDSS is the knowledge base established based on clinical cases and clinical pathway knowledge. As the main decision-making basis, clinical g...

AI Technical Summary

Problems solved by technology

[0006] The invention patent "Case Knowledge Base Representation and Case Similarity Acquisition Method and System" discloses a case knowledge base representation method, which introduces an N-ary relationship model, which is realized by introducing new classes and related attributes. The disadvantages of this method It is not suitable for the situation where there are many instances and many features. For the representation of knowledge in the medical field, especially for the representation of case knowledge, it is often necessary to use multiple relationships, and there are many instances, many features contained in the examples, and the features contain fuzzy knowledge. It is difficult to solve the problem of knowledge representation in the medical field by introducing new classes and related attributes

[0008] The invention patent "An Unsupervised Automatic Question Answering Method Based on Semantic Web" is a knowledge base built using the knowledge representation method of the Semantic Web. Each node in the network represents an entity (person name, place name, organization name, concept, etc.), and each edge It represents the relationship between entities, so most of the knowledge is represented by triples (entity 1, relationship, entity 2), corresponding to an edge in the semantic web and the two connected entities. Although this method is very rigorous, Very detailed, but its knowledge organization is too redundant and complex. When using the knowledge base to calculate the semantic or reasoning relationship between entities, the calculation efficiency is too low

This method establishes multiple medical knowledge bases according to different parts of the human body, but for clinical knowledge involving multiple human organs, it is impossible to define which medical knowledge base is stored

[0010] The invention patent "Medical Knowledge Ontology Modeling Method Based on Open Management" discloses a medical ontology modeling method based on open management, which expresses medical concepts in a hierarchical structure by constructing a medical knowledge ontology structure, but this method is still based on RDF / OWL to build, constructing ontology is time-consuming and labor-intensive, difficult to update and maintain

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