Disease self-analysis method based on medical ontology database

A medical information ontology and medical information technology, applied in medical informatics, informatics, data processing applications, etc., can solve problems such as missing treatment time and delaying illness, and achieve the effect of saving time and consumption

Active Publication Date: 2015-04-01
天津迈沃医药技术股份有限公司
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Once people have health problems, the first choice is to go to the hospital, but there always seems to be a lot of people in the hospital, even if there are some minor symptoms, the whole process of seeing a doctor will take a lot of time; I am willing to go to the hospital, but just buy some medicines based on my own experience, which may miss the best time for treatment and delay the condition

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  • Disease self-analysis method based on medical ontology database
  • Disease self-analysis method based on medical ontology database
  • Disease self-analysis method based on medical ontology database

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Embodiment Construction

[0028] The present invention will be further described below in conjunction with specific embodiments.

[0029] according to figure 1 the steps shown,

[0030] First, establish the medical information ontology (Medical Ontology) database, that is, the MO database;

[0031] (1) Number the disease and its characteristics with MO terms, each MO term represents a vertex, and the relationship between two terms is represented by a directed edge, so that the disease and symptoms are represented in a directed acyclic graph;

[0032] (2) The relationship between vertices is divided into two types: is_a relationship and part_of relationship; is_a relationship is a simple containment relationship; part_of relationship represents a part of the containment relationship. A disease often has multiple symptoms, symptoms and diseases There is a relationship of part_of, a relationship of is_a between diseases and diseases, and a relationship of is_a between symptoms and symptoms;

[0033] (3...

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Abstract

The invention provides a disease self-analysis method based on a medical ontology database. The method comprises the following steps that the medical ontology (MO) database is built, namely the MO database; according to the disease description, feature vocabularies are extracted; searching and matching are carried out in the MO database according to the feature vocabularies; according to the terms label collection obtained by matching, the probability of diseases of the MO terms collection corresponding to patients is calculated. By means of the method, the MO database based on disease features is built, the disease self-analysis method based on the medical ontology database is built, effective data and actual conditions of human bodies are combined, the symptoms in the initial stage of patients are more effectively discriminated, and an accurate and effective data basis is provided for helping patients perform self-diagnosis at the utmost.

Description

technical field [0001] The invention belongs to the field of computer information, in particular to a disease self-analysis method based on a medical information ontology database. Background technique [0002] At this stage, people's life rhythm is very fast, and life pressure is also great, which brings a lot of hidden worries for people's health. Once people have health problems, the first choice is to go to the hospital, but there always seems to be a lot of people in the hospital, even if there are some minor symptoms, the whole process of seeing a doctor will take a lot of time; I am willing to go to the hospital, but just buy some medicines based on my own experience, which may miss the best time for treatment and delay the condition. [0003] Based on this phenomenon, if there is an information platform to help people self-diagnose diseases, it will be of great help to people. People can use the content of the information platform and combine their own conditions to...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q50/22G06F17/30
CPCG16H50/20
Inventor 赵欣张少强
Owner 天津迈沃医药技术股份有限公司
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