Construction method and device of clinical knowledge base
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 improving accuracy, reducing calculation amount and improving efficiency
Active Publication Date: 2022-02-22
上海柯林布瑞信息技术有限公司
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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 relationships and the low credibility of network resources, the acquisition efficiency of medical knowledge maps is low, and the accuracy of the final medical knowledge maps is low.
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[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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The present application provides a method and device for constructing a clinical knowledge base, including: obtaining corresponding first text data from medical textbooks, and obtaining second text data from network resources; obtaining first triplet data based on the first text data group set, and obtain a second triple set based on the second text data; merge the first triple set and the second triple set, and deduplicate triples in the merged triple set, Obtain the target triple set; construct the corresponding medical knowledge map based on the target triple set. In the process of constructing triples, the scheme uses the first correspondence between chapter topics and chapter texts carried in the data, and the second correspondence between medical topics and network texts to determine entity pairs, thereby improving medical The efficiency of knowledge map construction introduces medical textbooks, a high-accuracy data source, and improves the accuracy of the constructed medical knowledge map.
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...
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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