Disease knowledge graph retrieval method based on symptom characteristics

A knowledge graph and symptom technology, applied in the field of information processing, can solve the problems that the retrieval results of the node retrieval service inputted by natural language cannot be effectively distinguished from the input content, and the retrieval method cannot be provided, etc., and achieves good scalability and performance. The effect of visualizing performance, improving retrieval efficiency, and improving flexibility

Active Publication Date: 2020-06-16
SOUTHWEST JIAOTONG UNIV
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Problems solved by technology

[0003] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a disease knowledge map retrieval method based on symptom characteristics, which solves the problem that existing retrieval methods cannot provide node retrieval services with natural language as input and the retrieval results and input content are medically inconsistent. The degree of correlation is often not effectively distinguished

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  • Disease knowledge graph retrieval method based on symptom characteristics
  • Disease knowledge graph retrieval method based on symptom characteristics
  • Disease knowledge graph retrieval method based on symptom characteristics

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Embodiment Construction

[0041] The specific embodiments of the present invention are described below so that those skilled in the art can understand the present invention, but it should be clear that the present invention is not limited to the scope of the specific embodiments. For those of ordinary skill in the art, as long as various changes Within the spirit and scope of the present invention defined and determined by the appended claims, these changes are obvious, and all inventions and creations using the concept of the present invention are included in the protection list.

[0042] Such as figure 1 As shown, a disease knowledge map retrieval method based on symptom characteristics, including the following steps:

[0043] S1. Preprocessing the input text to obtain a standardized text;

[0044] Step S1 is specifically:

[0045] A1. Perform a full string match on the "alias" attribute value of all symptom nodes in the graph in the text, and replace the matched symptom alias with the "standard na...

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Abstract

The invention discloses a disease knowledge graph retrieval method based on symptom characteristics. The method comprises the steps of preprocessing an input text, extracting symptom characteristics,retrieving disease nodes conforming to the symptom characteristics in a map, calculating the relevancy between all the disease nodes and the symptom characteristics, and sequentially presenting related contents according to relevancy values from high to low, so that retrieval time is saved, and retrieval efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of information processing, and in particular relates to a disease knowledge map retrieval method based on symptom characteristics. Background technique [0002] As one of the mainstream knowledge storage media at present, knowledge graph provides guarantee for users in various fields to obtain efficient retrieval services and accurate retrieval results. However, in individual professional fields, users often need more customized search services and specialized search results. This demand is particularly prominent in the information retrieval of knowledge graphs in the medical field. The retrieval experience based on graphs is not satisfactory. In terms of retrieval methods, the current retrieval methods provided by graphs in the medical field are still relatively single, and most graphs can only provide detailed views of fixed nodes in the graph, and users usually click the graph node in the graphical inter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/33G06F16/35G06F16/36G06F16/903
CPCG06F16/367G06F16/35G06F16/334G06F16/90344Y02A90/10
Inventor 滕飞郑少宇马征陈泽君马虹吴洁
Owner SOUTHWEST JIAOTONG UNIV
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