Semantic similar case retrieval method and device based on medical knowledge graph

A technology of medical knowledge and semantic similarity, applied in the field of semantically similar case retrieval based on medical knowledge graph, can solve the problems of coarse retrieval granularity, imprecise definition, inaccurate retrieval, etc., to ensure correctness and standardization, and improve granularity requirements. and the effect of accuracy

Active Publication Date: 2020-07-14
湖南科创信息技术股份有限公司
View PDF19 Cites 18 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method for retrieving semantically similar cases based on medical knowledge graphs to solve the problems of inaccurate definition, coarse retrieval granularity and inaccurate retrieval when retrieving similar cases.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Semantic similar case retrieval method and device based on medical knowledge graph
  • Semantic similar case retrieval method and device based on medical knowledge graph
  • Semantic similar case retrieval method and device based on medical knowledge graph

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and examples.

[0051] Such as figure 1 As shown, a semantically similar case retrieval method based on medical knowledge graph, including steps:

[0052] S1. Obtain an electronic case that meets the requirements of the case content specification;

[0053] S2. Perform structural processing on the electronic case text, and combine it with the medical knowledge map to obtain a structured electronic case with unified and standardized terms;

[0054] S3. Calculate the similarity between the structured electronic case and the case in the database according to the content matching degree and the similarity in scale;

[0055] S4. Sort and output the cases in the library according to the calculated similarity.

[...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a semantic similar case retrieval method and device based on a medical knowledge graph. The method comprises the steps of: obtaining electronic cases meeting case content specification requirements; performing structured processing on the electronic case text, and combining with a medical knowledge graph to obtain a structured electronic case with unified specification terms; calculating the similarity between the structured electronic case and a case in a library by combining the content matching degree and the scale similarity degree; and sorting and outputting the cases in the library according to the calculated similarity. According to the method, medical knowledge graph alignment is combined, and a semantic similarity calculation model is constructed accordingto the semantic network of the knowledge graph to calculate the similarity between the structured electronic case and the case in the library; and both the matching number and the matching metric value are considered, so that the similarity is defined as more matching and accurate matching, and the granularity requirement and accuracy of similar case matching are improved.

Description

technical field [0001] The present invention relates to the field of retrieval of similar cases, in particular, to a method and device for retrieval of semantically similar cases based on medical knowledge graphs. Background technique [0002] With the development of computer technology, retrieval has become a common means of obtaining information in daily life. In the medical field, retrieval of similar cases is of great significance in scientific research and clinical practice. Similar cases can not only assist doctors to make better diagnosis and analysis of current cases based on similar cases in the past, improve the accuracy of diagnosis, but also formulate treatment plans for similar cases. Present the treatment plan of the current case, shorten the healing cycle of the patient, and improve the treatment efficiency. [0003] Knowledge map is also called scientific knowledge map, which is called knowledge domain visualization or knowledge domain mapping map in the lib...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/2455G06F16/2457G06F16/31G06F16/36G16H50/70
CPCG16H50/70G06F16/2455G06F16/24578G06F16/313G06F16/367
Inventor 武学鸿李建华费耀平
Owner 湖南科创信息技术股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products