Semantic structuralization processing method for medical text phenotypic information

A semantic structure and processing method technology, applied in the field of data processing, can solve problems such as coarse-grained, incomplete and inaccurate expression of medical knowledge, and achieve the effect of promoting development and being easy to understand

Pending Publication Date: 2021-01-26
SUZHOU INST OF SYST MEDICINE
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Problems solved by technology

Under the existing structured representation method of medical text, the expression of medical knowledge is very incomplete, imprecise and coarse-grained, which will bring great problems to the subsequent development of intelligent diagnosis and treatment system based on knowledge base

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  • Semantic structuralization processing method for medical text phenotypic information
  • Semantic structuralization processing method for medical text phenotypic information
  • Semantic structuralization processing method for medical text phenotypic information

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Embodiment Construction

[0039] The invention discloses a method for semantically structured processing of medical text phenotype information. It mainly realizes the accurate representation of phenotypic information in medical texts. In medicine, the concept of phenotype covers diseases, signs, symptoms, laboratory test results and imaging test results, etc.

[0040] The technical scheme of the present invention includes three steps, namely a) construction of the phenotype semantic structure unit; b) automatic identification of the phenotype semantic structure unit; c) interactive proofreading of the phenotype semantic structure unit. Through these three steps, the present invention can convert a piece of medical text into a structured representation based on phenotype semantic structural units, which are described in detail as follows:

[0041] a) Construction of phenotype semantic structure unit

[0042] Referring to the "entity-attribute-value" model, construct the associated attributes of the ph...

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Abstract

The invention discloses a semantic structuralization processing method for the medical text phenotypic information. A finer and more accurate disease phenotypic knowledge database is obtained by constructing a phenotypic semantic structure unit, automatically identifying the phenotypic semantic structure unit and interactively proofreading the phenotypic semantic structure unit. The method is advantaged in that phenotypic knowledge in the medical text can be subjected to more accurate and deeper structured representation on the semantic level, and fine-grained representation on the semantic level is deeper. According to the method, development of the medical informatization and intelligent career of China can be greatly promoted.

Description

technical field [0001] The invention belongs to the technical field of data processing, in particular to a method for semantically structured processing of medical text phenotype information. Background technique [0002] Health and medical big data is an important basic strategic resource in my country, and medical text big data such as clinical guidelines and electronic medical records are an important part of health and medical big data. Medical text big data contains a wealth of diagnosis and treatment information. If this information can be effectively used, it will greatly promote the development of medical informatization and intelligence in China. However, medical text big data often exists in the form of free text, with a low degree of structure and standardization, which has become a bottleneck restricting the development of my country's health and medical big data applications. The key to breaking through this bottleneck lies in the development of structuring met...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G06F40/279G06F40/30G06F40/242
CPCG16H10/60G06F40/279G06F40/30G06F40/242
Inventor 蒋太交邓立宗
Owner SUZHOU INST OF SYST MEDICINE
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