Online editing and retrieving system based on medical synonyms

A retrieval system and synonym technology, applied in the field of information processing, can solve the problems of medical unstructured text extraction, convenience and accuracy, lack of accurate and easy-to-use tool support and content support, and Chinese language resistance, etc. The effect of augmenting and categorizing work

Pending Publication Date: 2020-03-27
SHANGHAI JIAO TONG UNIV +1
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  • Abstract
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  • Claims
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AI Technical Summary

Problems solved by technology

However, if China wants to develop artificial intelligence technology into the medical field, the first problem it faces is the processing of medical unstructured texts and the extraction of knowledge relations.
This problem, coupled with the complexity of the Chinese language itself, has caused great resistance to the development of various tasks
[0003] Specifically, the development of artificial intelligence in the medical field needs to be based on a correct and wide-ranging Chinese medical knowledge base. In the field of Chinese medical synonyms, it is limited by the complexity of the Chinese language and the professionalism of medical vocabulary. As well as the similarities and differences between Chinese and Western medicine views, there is a lack of accurate and easy-to-use tool support and content support in promoting the standardization of Chinese medical synonyms and the convenience and accuracy of using Chinese medical synonyms

Method used

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  • Online editing and retrieving system based on medical synonyms
  • Online editing and retrieving system based on medical synonyms
  • Online editing and retrieving system based on medical synonyms

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Experimental program
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Embodiment Construction

[0014] Such as figure 1 As shown, the present embodiment relates to a kind of use web crawler, Web technology, uses Elasticsearch non-relational database iterative self-updating online editing and retrieval system for medical synonyms, including: synonyms integration module, database module and server module, wherein: The synonym integration module is connected with the server module and transmits the search result information in batches, and provides an external interface customized for developers at the same time. The database module is connected with the synonym integration module to save the synonym information extracted by the synonym integration module and also transmit the retrieved synonym information. The server module and The synonym integration module is connected and initiates a request for information retrieval and receives information from the synonym integration module.

[0015] The synonym integration module retrieves and integrates all synonyms of the added or...

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Abstract

The invention discloses an online editing and retrieving system based on medical synonyms. The system comprises a synonym integration module, a database module and a server module, wherein the synonymintegration module is connected with the server module and transmits retrieval result information in batches; meanwhile, an external interface customized for developers is provided, the database module is connected with the synonym integration module to store synonym information extracted by the synonym integration module and can also transmit retrieved synonym information, and the server moduleis connected with the synonym integration module, initiates an information retrieval request and receives information transmitted by the synonym integration module. According to the method, the working efficiency is remarkably improved, the workload of manually screening synonyms is reduced, and the accuracy of the whole lexicon is improved.

Description

technical field [0001] The invention relates to a technology in the field of information processing, in particular to an iterative self-updating online editing and retrieval system for medical synonyms. Background technique [0002] The existing artificial intelligence has made good progress in the fields of image classification, speech recognition, knowledge quiz, man-machine game, unmanned driving and other fields mentioned above. In the medical field, domestic and foreign companies have also tried and researched, such as IBM's waston project. However, if China wants to develop artificial intelligence technology into the medical field, the first problem it faces is the processing of medical unstructured texts and the extraction of knowledge relationships. This problem and the complexity of the Chinese language itself have caused great resistance to the development of various tasks. [0003] Specifically, the development of artificial intelligence in the medical field nee...

Claims

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Application Information

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IPC IPC(8): G06F40/247G06F16/36
CPCG06F16/374
Inventor 罗金李国强孙炜
Owner SHANGHAI JIAO TONG UNIV
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