Clinical knowledge base construction method and device

A construction method and knowledge base technology, applied in knowledge expression, electronic clinical trials, semantic tool creation, etc., can solve problems such as low credibility of network resources, low accuracy of medical knowledge maps, and low acquisition efficiency of medical knowledge maps. Achieve the effect of reducing the amount of calculation, improving efficiency, and improving accuracy

Active Publication Date: 2021-11-23
上海柯林布瑞信息技术有限公司
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  • Claims
  • Application Information

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Problems solved by technology

However, in the existing medical knowledge map construction method based on network resources, due to the large amount of calculation for extracting entity relationship

Method used

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  • Clinical knowledge base construction method and device
  • Clinical knowledge base construction method and device
  • Clinical knowledge base construction method and device

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Embodiment Construction

[0088] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary only for explaining the present application, and are not construed as limiting the present application.

[0089] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the specification of the present application refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, Integers, steps, operations, elements, components, and / or groups thereof. It will be under...

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Abstract

The invention provides a clinical knowledge base construction method and device. The method comprises the steps: obtaining corresponding first text data from a medical teaching material, and obtaining second text data from a network resource; obtaining a first triple set based on the first text data, and obtaining a second triple set based on the second text data; combining the first triple set and the second triple set, and performing duplicate removal on triples in the combined triple set to obtain a target triple set; and constructing a corresponding medical knowledge graph based on the target triple set. According to the scheme, in the process of constructing the triad, the entity pair is determined by using the first corresponding relation between the chapter theme and the chapter text carried in the data and the second corresponding relation between the medical theme and the web text, so that the efficiency of constructing the medical knowledge graph is improved, a data source, namely the medical textbook, with high accuracy is introduced, and the efficiency of constructing the medical knowledge graph is improved. And the accuracy of the constructed medical knowledge graph is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular, the present application relates to a method and a device for constructing a clinical knowledge base. Background technique [0002] Since Google (Google) first proposed the concept of knowledge graph in 2012, it has developed in the field of artificial intelligence at a very fast speed. For its part, knowledge graphs are usually stored as triples (head, relation, tail). Triplets can characterize the internal structure and relationships of graphs. To build a knowledge graph, you first need to get triples. [0003] At present, the triplet acquisition process of the medical knowledge map usually first grabs medical data from network resources, and then identifies entities from the captured medical data, and extracts entity relationships, and then constructs corresponding entities and entity relationships. Triad. However, in the existing medical knowledge map constructio...

Claims

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Application Information

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IPC IPC(8): G06F16/36G06F40/295G06F40/268G06F40/247G06N5/02G16H70/00G16H10/20
Inventor 秦晓宏刘焕春华宗楠
Owner 上海柯林布瑞信息技术有限公司
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