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Method, device and system for extracting symptoms and causes in medical text

A symptom and text technology, applied in the fields of medical data mining, computer-aided medical procedures, medical informatics, etc., can solve problems such as difficult extraction, and achieve the effect of improving precision and accuracy

Pending Publication Date: 2021-11-09
HENAN UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] There are many proper nouns and complex medical vocabulary descriptions in the medical field, so it is difficult to extract during entity recognition

Method used

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  • Method, device and system for extracting symptoms and causes in medical text
  • Method, device and system for extracting symptoms and causes in medical text
  • Method, device and system for extracting symptoms and causes in medical text

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] combined with figure 1 , figure 1 It is a system block diagram of a system for extracting symptom etiology from medical texts, and the system includes.

[0048] Text input unit for the system to read unstructured medical text.

[0049] Text input unit: used to read the initial value set of symptom words, the initial value set of relational words, the initial value set of sentence patterns, and the initial value set of medical texts.

[0050] The storage unit is used to store the initial value set and the extraction result set.

[0051] The symptom extraction unit is used for extracting the entity of the etiology, and extracting the entity of the etiology through the symptom word and the relationship word.

[0052] The relational word extraction unit is used to extract the relational word entity, and extracts the relational word entity through the symptom word and the symptom word.

[0053] The symptom extraction unit is used to extract the symptom entity, and extrac...

Embodiment 2

[0057] combined with figure 2 , figure 2 It is a flowchart of a method for extracting symptom causes from medical texts, and the specific steps are as follows.

[0058] Step 1: Take a large amount of medical information including the corresponding causes of symptoms as the original corpus.

[0059] Step 2: Summarize the high-frequency sentence patterns of symptom-symptom-symptom relationship, and obtain the relative words of each sentence structure.

[0060] Step 3: Perform relative word removal and store in the existing relational word set.

[0061] Step 4: Construct a regular expression of sentence structure through symptom words and relational words.

[0062] Step 5: Extract the cause information in the medical text through regular expressions.

[0063] Step 6: Remove impurities from the cause of the symptom and store it in the set corresponding to the symptom.

[0064] Step 7: Construct the regular expression of the sentence structure through the cause and relative wo...

Embodiment 3

[0072] Embodiment 3 of the present invention provides a symptom cause extraction device, which mainly includes a memory, a processor, and a computer program stored in the memory and operable on the processor, and the processor executes the computer program Realize the steps of the method for extracting the above-mentioned symptoms and symptoms at the same time.

[0073] The symptom cause extraction device implemented in the present invention includes: an acquirer, a processor, a memory, and a computer program stored in the memory and operable on the processor, for example: a symptom cause extraction program. When the processor executes the computer program, the steps in the above embodiment of the method for extracting the cause of symptoms are realized, for example figure 2 The steps in the symptom etiology extraction method are shown. Or when the processor executes the computer program, it realizes the functions of each module or unit in the above-mentioned device embodime...

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Abstract

The invention discloses a method, a device and a system for extracting symptoms and causes in a medical text, and particularly relates to the technical field of natural language processing information extraction. The system mainly comprises a reading module, an extraction module, a sentence pattern module and a display module. The reading module is mainly used for reading some medical texts by the system. The extraction module mainly comprises a relational word extraction unit, a symptom extraction unit and a symptom cause extraction unit. The method mainly comprises the following steps: firstly, summarizing a partial relational word set; constructing sentence patterns through the symptoms and the relational words to extract symptom causes; and then performing extracting through the entity subjected to impurity removal and updating; and finally, evaluating an extraction result, if the number of the extracted entities is increased compared with that of the existing entities, continuing iteration, and otherwise, ending. The sentence pattern module mainly constructs a regular expression through a plurality of entities. The display module mainly comprises a storage unit and an output unit. According to the invention, the disclosed unstructured medical text is taken as a starting point, and accurate extraction of symptoms and causes in the medical text is finally realized.

Description

technical field [0001] The present invention relates to the technical field of natural language processing information extraction, and specifically relates to a method, system and device for extracting symptoms and causes from medical texts. Background technique [0002] In recent years, with the rapid development of information technology, massive medical texts contain rich knowledge of disease diagnosis, including the causes of a large number of symptoms. Whether it is a manual diagnosis of a doctor or an intelligent diagnosis of a machine, the causes of these symptoms are the basis of disease diagnosis. If we can extract the corresponding causes of symptoms from text, it will provide powerful medical diagnosis capabilities in the medical field. This paper uses the method of entity recognition and relationship extraction in natural language processing to propose a method to extract symptoms and causes through semantic rules based on the various relationships of semantic e...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/70G16H10/60G06F40/295G06F40/211
CPCG16H50/70G16H10/60G06F40/295G06F40/211
Inventor 周鹏程卢旭召李军冯洪海魏亚举侯瑞辉
Owner HENAN UNIVERSITY