Structured report template-based medical image knowledge base establishment method

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...

AI Technical Summary

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 analysis, and the traditional "random analysis" or "sampling survey" knowledge acquisition methods cannot effectively utilize all data resources.

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