Structured report template-based medical image knowledge base establishment method

A technology of structured reporting and medical imaging, applied in the field of medical imaging information processing and application, can solve the problems of ineffective use of data resources, unstructured attributes of medical images cannot meet the requirements of big data analysis data quality, etc., and can be widely used Value, high retrieval efficiency, and enhanced accuracy

Inactive Publication Date: 2017-12-12
王卫鹏 +2
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Problems solved by technology

As medical care enters the era of big data, the unstructured attributes of medical images cannot meet the data quality requirements of big data

Method used

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  • Structured report template-based medical image knowledge base establishment method
  • Structured report template-based medical image knowledge base establishment method
  • Structured report template-based medical image knowledge base establishment method

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Embodiment Construction

[0044] In order to make the purpose and technical solution of the present invention clearer, the present invention will be further described in detail below in conjunction with the examples.

[0045] According to the characteristics of medical imaging, the present invention constructs a Chinese ontology vocabulary database with internal connections, and uses the constructed ontology vocabulary database to define standardized descriptions of common diseases and syndromes in different parts according to internationally recognized expert consensus; based on the disease syndrome database, it establishes The standardized processing flow and the structured report template conform to the CDA standard. The above-mentioned unified terms should be used to mark the keywords and node nouns used to describe the disease and syndrome on the template. In the process of writing the image report template, through the doctor's interpretation, the image is converted into a structured report templa...

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Abstract

The invention relates to a structured report template-based medical image knowledge base establishment method and belongs to the field of medical information processing and application. For improving data availability, a multi-modal stored medical image is converted into structured big data, so that data innovation and value addition are realized and accurate data support is provided for medical research. The method comprises the steps of establishing characteristic noumena of the medical image; defining standards of disease syndromes; designing report templates by taking structured data as elements; forming knowledge elements and exchanging information; and establishing learning rules. Through noumenon library establishment, disease syndrome definition, a text report template, an image-text report template and a CDA document, a relationship between a diagnosis conclusion and image presentation is established, so that the retrieval efficiency is high and the accuracy is greatly enhanced; by establishing the learning rules, the knowledge elements are continuously perfected, so that the medical research is assisted and the medical image level of the whole industry is improved; and the method has extremely wide application values.

Description

technical field [0001] The invention belongs to the field of medical image information processing and application, and relates to a method for collecting and collecting medical image data, in particular to a method for establishing a knowledge base based on structural transformation of ontology forms for medical image features. Background technique [0002] As the medical field enters the "big data era", the following two issues follow. One topic, how to use data innovation to explore medical science, how to quickly obtain information from huge data resources to improve medical level, is a realistic problem that needs to be discussed urgently. Another topic, with the implementation of the concept of "standard-precision medicine", personalized treatment also requires a standardized and comprehensive assessment of disease manifestations. [0003] As we all know, medical imaging, as the largest information source of disease signs, accounts for more than 80% of all clinical med...

Claims

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Application Information

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IPC IPC(8): G06F19/00
Inventor 王卫鹏巩若箴张翼
Owner 王卫鹏
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