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Pathological knowledge graph construction method and device

A technology of knowledge map and pathology, which is applied in the field of pathological knowledge map construction, and can solve problems such as no knowledge map

Pending Publication Date: 2021-12-03
志诺维思(北京)基因科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, for the subdivided fields of the medical industry and the big data industry of pathology, there is currently no relatively mature and complete knowledge map to assist and implement the needs of pathology business scenarios.

Method used

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  • Pathological knowledge graph construction method and device
  • Pathological knowledge graph construction method and device
  • Pathological knowledge graph construction method and device

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Embodiment Construction

[0033] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. It should be understood that the technical solutions in the embodiments of the present application The drawings are only for the purpose of illustration and description, and are not used to limit the protection scope of the present application. Additionally, it should be understood that the schematic drawings are not drawn to scale. The flowcharts used in this application illustrate operations implemented in accordance with some embodiments of the application. It should be understood that the operations of the flowcharts may be performed out of order, and steps that do not have a logical context may be performed in reverse order or simultaneously. In additio...

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Abstract

The invention provides a pathological knowledge graph construction method and device. A pathological data knowledge base is built according to medical text data of different corpus sources, and the pathological data knowledge base comprises disease class entity pairs and a first entity relationship used for representing the association between two disease entities in the disease class entity pair; based on the medical data, a medical rule knowledge base is created according to a preset medical rule, and the medical rule knowledge base comprises interpretation type entity pairs and a second entity relationship used for representing association between two interpretation entities in each interpretation type entity pair; equivalent class entities in the disease class entity pair and the interpretation class entity pair are determined; based on the equivalence class entities, the pathological data knowledge base and the medical rule knowledge base are fused into a target knowledge base; and a target pathological knowledge graph is formed based on the target knowledge base for storage.

Description

technical field [0001] The present application relates to the technical field of medical data processing, in particular, to a method and device for constructing a pathology knowledge graph. Background technique [0002] The purpose of constructing medical knowledge graphs is mostly to solve the scenario requirements of clinical business or Internet medical business. However, for the subdivided fields of the medical industry and the big data industry of pathology, there is currently no relatively mature and complete knowledge map to assist and implement the needs of pathology business scenarios. Therefore, in response to the needs of real scenarios such as auxiliary diagnosis and treatment judgment, intelligent guidance, pathological data structured processing, and pathological data analysis and interpretation in the pathology industry, the creation of pathological knowledge graphs has very important value and significance. [0003] In addition, the pathological knowledge ma...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F40/247G16H50/70
CPCG06F16/367G16H50/70G06F40/247
Inventor 骆佳俊马可许永超李力行凌少平马振华贾红丽
Owner 志诺维思(北京)基因科技有限公司
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