Clinical guideline knowledge modeling method and system

Abstract

The invention discloses a clinical guideline knowledge modeling method and system. The method comprises the following steps: acquiring a clinical guideline data set; performing text analysis on the clinical guideline data set, and generating document layer information; based on the document layer information, determining a hierarchical structure corresponding to each version of clinical guidelines and module content corresponding to each hierarchy, and generating module layer information; subjecting module content in the module layer information to knowledge-based processing, and obtaining knowledge layer information which represents knowledge graph information of the clinical guidelines; and constructing an association relationship among the document layer information, the module layer information and the knowledge layer information, generating an association relationship library, and visually displaying the association relationship library to obtain a cross-layer multi-dimensional association model. According to the technical scheme, the clinical guidelines of different versions are standardized and integrated, layer-by-layer display of the association relationship and content of the guideline information is facilitated, application requirements for clinical guideline knowledge is met, and the practicability of clinical guideline knowledge modeling is improved.

Description

technical field [0001] The invention relates to the technical field of information processing, in particular to a clinical guideline multi-level knowledge modeling method and system. Background technique [0002] Clinical guidelines, also known as clinical time guidelines or medical guidelines, are practical recommendations based on a systematic review of medical evidence and an assessment of the pros and cons of treatment, including guidance for specific clinical problems, to assist medical staff and patients in Make appropriate choices in specific clinical contexts and situations. [0003] However, the current knowledge organization system of clinical guidelines for major diseases is messy and has many sources. Even the same guideline will change with the update structure, and most guidelines only organize the content of disease diagnosis in the form of long texts, which makes it difficult for doctors to learn and understand systematically. The knowledge of clinical guide...

AI Technical Summary

Problems solved by technology

[0003] However, the current knowledge organization system of clinical guidelines for major diseases is messy and has many sources. Even the same guideline will change with the update structure, and most guidelines only organize the content of disease diagnosis in the form of long texts, which makes it difficult for doctors to learn and understand systematically. The knowledge of

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