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Construction method of medical intelligent question-answering system based on attention mechanism

A technology of intelligent question answering and construction method, applied in the field of medical intelligent question answering system construction, can solve the problems of large amount of information, medical information difficult to meet the needs of users' health, and lengthy results.

Active Publication Date: 2019-12-06
BEIJING UNIV OF TECH
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AI Technical Summary

Problems solved by technology

[0003] When people search for medical information, the number of results returned by the search engine is large, the amount of information is large, and the returned results are lengthy. Unprocessed medical information is difficult to meet the needs of users for health.

Method used

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  • Construction method of medical intelligent question-answering system based on attention mechanism
  • Construction method of medical intelligent question-answering system based on attention mechanism
  • Construction method of medical intelligent question-answering system based on attention mechanism

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Embodiment Construction

[0076] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0077] according to figure 1 , 2 As shown, the method proposed by the present invention is realized in the following steps successively (taking certain medical disease data as an example):

[0078] Step (1) Data acquisition and preprocessing

[0079] A medical question-and-answer data set QA is collected from a department of a medical website. There are a total of 3415 question-answer pairs, namely n=3415. There are 6 answers in each answer list A, and A={a 1 ,a 2 ,a 3 ,a 4 ,a 5 ,a 6}. Some medical question-answer pairs are shown in Table 1:

[0080] Table 1 Some examples of medical question-answer pairs

[0081]

[0082] (1.2) Segment the medical question-and-...

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Abstract

The invention provides a construction method of a medical intelligent question-answering system based on an attention mechanism. The method comprises the following steps: firstly, collecting medical question and answer data, carrying out vectorization representation by using a Word2vec technology, and for each question, selecting a sentence with the maximum semantic similarity from answer data asa standard answer to construct a medical knowledge question and answer training library; constructing a deep learning model of the medical intelligent question-answering system based on the attentionmechanism, wherein the deep learning model comprises semantic coding and splicing of questions and answer data by using bidirectional LSTM, and adding the attention mechanism; and inputting the spliced semantic code into a bidirectional LSTM for feature fusion, and finally outputting a standard answer by a softmax function.

Description

technical field [0001] The invention belongs to the field of data mining, and in particular relates to a construction method of a medical intelligent question answering system based on an attention mechanism. Background technique [0002] With the vigorous development of Internet technology, the Internet has become an important source of information for people. People's access to information is mainly realized by search engines, which can help people find the information webpages that users need. Question Answering System (QA) is an advanced form of information retrieval system, which can answer the questions raised by users in natural language in accurate and concise language. The main reason for the rise of its research is people's demand for fast and accurate access to information. [0003] When people search for medical information, the number of results returned by the search engine is large, the amount of information is large, and the returned results are lengthy. Un...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F17/27G16H80/00G06K9/62G06N3/04G06N3/08
CPCG06F16/3329G16H80/00G06N3/08G06N3/044G06N3/045G06F18/22
Inventor 刘磊吴爽孙应红侯良文李静
Owner BEIJING UNIV OF TECH
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