Intelligent hospital guide method and system integrated based on multi-source knowledge graphs

A knowledge graph, intelligent technology, applied in the field of medical information processing, can solve the problems of inability to obtain hospitals and advantageous departments, inconsistent real situation, etc.

Active Publication Date: 2019-08-02
EAST CHINA UNIV OF SCI & TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The following problems cannot be solved in the prior art: (1) The main complaint of the patient may be a statement of the disease, how to effectively identify the symptom information or the disease predicted by the user from the statement (2) How to choose the most suitable hospital a

Method used

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  • Intelligent hospital guide method and system integrated based on multi-source knowledge graphs
  • Intelligent hospital guide method and system integrated based on multi-source knowledge graphs
  • Intelligent hospital guide method and system integrated based on multi-source knowledge graphs

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Experimental program
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Embodiment Construction

[0059] refer to figure 1 , in this embodiment, the intelligent diagnosis guidance method based on multi-source knowledge map fusion of the present invention is realized through the following steps.

[0060] S110, constructing a symptom-disease-department knowledge graph;

[0061] S120, collect user symptom description information, gender and age group information;

[0062] S130, identify the symptom set and the patient's predicted disease set in the user's symptom description information through the process of entity recognition and symptom standardization;

[0063] S140, calculate the user's symptom set through the improved TF-IDF algorithm to obtain the user's possible disease set and the weight of each disease;

[0064] S150, using the disease set that the user may suffer from, the weight of each disease, and the symptom-disease-department knowledge graph, to obtain the weight of the recommended department by merging the disease weight and the calculation of the disease-d...

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Abstract

The invention belongs to the computer application field, and discloses an intelligent hospital guide method and system integrated based on multi-source knowledge graphs, for solving the problem of accurate hospital guide of a patient. The intelligent hospital guide method includes the steps: constructing a symptom-disease-department knowledge graph; collecting user symptom description informationand gender and age group information; identifying a symptom set and a patient pre-judging disease set in the user symptom description information through an entity identification and symptom normalization process; calculating the symptom set of the user through an improved TF-IDF algorithm to obtain a possible disease set of the user and the weight of each disease; calculating to obtain the weightof a recommended department by fusing the disease weight and the disease-department correlation degree by utilizing the disease set which the user possibly suffers from, the weight of each disease and the symptom-disease-department knowledge graph; and determining recommended department according to the rank of the department weights.

Description

technical field [0001] The invention belongs to the field of medical information processing, and more specifically, relates to an intelligent diagnosis guidance method based on the fusion of multi-source knowledge graphs. Background technique [0002] Before patients go to the hospital to see a doctor, they often don't know which department they should go to. Usually, the relevant information of seeing a doctor is obtained by searching the hospitals and departments related to one's own disease through the Internet. However, due to the different settings of departments in each hospital and the unreliability of information in the network, patients may choose the wrong hospital and department, and even become victims of false medical advertisements. Therefore, from the perspective of patients, they need accurate and efficient guidance services, which can not only reduce the phenomenon of wrong number registration, save the time of patients visiting a doctor, but also relieve t...

Claims

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Application Information

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IPC IPC(8): G16H40/20G06F16/36G06F16/33G06F17/27
CPCG16H40/20G06F16/367G06F16/3346G06F16/374G06F40/295Y02A90/10
Inventor 叶琪何萍刘道文魏明月姚华彦薛魁
Owner EAST CHINA UNIV OF SCI & TECH
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