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Biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information

A biomedical and genotyping technology, applied in the field of biomedical informatics, can solve problems such as the lack of integration of biological information data, and achieve the effect of reliable data protection and personalized health intervention programs

Inactive Publication Date: 2017-10-13
北京水母科技有限公司
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Problems solved by technology

[0006] Although there are many ontology databases in the biomedical field, most of the ontologies used in disease management are based on clinical data, health records and other medical information, lacking the integration of biological information data

Method used

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  • Biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information
  • Biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information
  • Biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information

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example

[0078] After the above 5 steps are defined, define specific examples for some concepts with instance relations, and complete the ontology construction.

[0079] Implementation of the database:

[0080] The realization of the database of the present invention adopts the MySQL database, which includes 42 data tables in total, not only covering the company information using the database, but also including configuring the corresponding data tables according to the profile framework of the ontology.

[0081] The genetic disease correlation data tables in the database include: user gene table, genotype population proportion, locus library, trait locus result table, user gene data table, user gene temporary table, and user evaluation score table. Among them, the user gene data table covers susceptibility and susceptibility genes related to diseases, the locus database mainly includes the data information of single nucleotide polymorphism (SNP), and the proportion of genotype populat...

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Abstract

The invention discloses a biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information. The method comprises the following steps: 1) based on disease data, basic health data of individuals, and genopathy associated features, obtaining key concepts in biomedical field ontologies; 2) referring to ontologies or database which already exists in the fields of biological information and medical information, looking up literature in related fields, analyzing data structure and data semantics; 3) using an intermediate expansion method, firstly obtaining partial concepts and relations from the fields, establishing an ontology rudiment, then, beginning from the ontology rudiment, continuously supplementing other concepts in the fields into the ontology rudiment; 4) defining relations and attribute of different concepts, and relations of the concepts and the attribute. Through the method, a biomedical ontology base integrating the high-throughput genotyping and clinical medical information is established, a more comprehensive health portrayal is provided for users, so as to provide reliable data guarantee for disease management and accurate prevention.

Description

technical field [0001] The invention relates to the technical field of biomedical informatics, in particular to a biomedical ontology integration method for integrating high-throughput genotyping and clinical medical information. Background technique [0002] With the aging population in our country, chronic diseases have become one of the biggest public health problems facing our country. In recent years, disease management and precise prevention aimed at improving lifestyles and zero-level disease prevention have become important methods for the treatment of chronic diseases. [0003] The implementation of precise disease prevention is inseparable from the support of multidimensional data, and the era of big data is accelerating people's ability to obtain personal biomedical data. These data are not limited to electronic medical records based on clinical cases and electronic health records based on personal basic health data. Data acquisition is no longer difficult. How...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 梁冰冰赵南
Owner 北京水母科技有限公司
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