Extraction method, system and device for medical specific references and relations of medical specific references

A relational and medical technology, applied in the field of information extraction, can solve problems such as the inability to automatically analyze the interaction relationship between specific medical references

Pending Publication Date: 2020-12-04
PING AN TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The present invention provides a method, system, electronic device, and computer storage medium for extracting specific medical references and their relationships, and its main pur

Method used

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  • Extraction method, system and device for medical specific references and relations of medical specific references
  • Extraction method, system and device for medical specific references and relations of medical specific references
  • Extraction method, system and device for medical specific references and relations of medical specific references

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Embodiment 1

[0041] In order to illustrate the extraction method of the medical specific designation and its relationship provided by the present invention, figure 1 The flow chart of the method for extracting specific medical references and their relationships provided by the present invention is shown.

[0042] Such as figure 1 As shown, the method for extracting specific medical references and their relationships provided by the present invention includes:

[0043] S110: Extract entity references in medical sample documents, and perform grammatical position labeling on the entity references.

[0044] Specifically, the entity reference includes body part reference and medical specific reference; and, in the process of extracting the entity reference in the medical sample document, the medical sample document is processed using a preset named entity recognition system to extract the Body part designations and medicine-specific designations in medical sample literature.

[0045] In addi...

Embodiment 2

[0089] Corresponding to the above method, the present application also provides a system for extracting specific medical references and their relationships, which includes:

[0090] The performance monitoring unit is used to monitor and count the predictive performance of the model to be updated according to the preset statistical cycle, and store the statistical results of the predictive performance in each statistical cycle into the statistical database;

[0091] A mechanism triggering unit, configured to use a preset trigger mechanism to check the data in the statistical database to determine whether the model to be updated needs to be updated online;

[0092] A data updating unit, configured to obtain online newly generated data if the model to be updated needs to be updated online, and update the training data of the model to be updated according to the newly generated data;

[0093] The model update unit is used to perform update training on the model to be updated by us...

Embodiment 3

[0095] The present invention also provides an electronic device 70 . refer to figure 2 As shown, this figure is a schematic structural diagram of a preferred embodiment of the electronic device 70 provided by the present invention.

[0096] In this embodiment, the electronic device 70 may be a server, a smart phone, a tablet computer, a portable computer, a desktop computer, and other terminal devices with computing functions.

[0097] The electronic device 70 includes: a processor 71 and a memory 72 .

[0098] Memory 72 includes at least one type of readable storage media. The at least one type of readable storage medium may be a non-volatile storage medium such as a flash memory, a hard disk, a multimedia card, a memory card, or the like. In some embodiments, the readable storage medium may be an internal storage unit of the electronic device 70 , such as a hard disk of the electronic device 70 . In other embodiments, the readable storage medium can also be an external ...

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PUM

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Abstract

The invention relates to artificial intelligence, and provides a method for extracting a medical specific reference and relations of the medical specific references, which comprises the following steps of: extracting an entity reference in a medical sample literature, and carrying out grammatical position labeling on the entity reference; determining a path relationship among the entity referencesaccording to the grammatical position annotations of the entity references, and generating a candidate extraction rule set according to the path relationship; filtering the candidate extraction ruleset according to a filtering rule; verifying the filtered candidate extraction rule set through a preset verification model to determine a final extraction rule; and processing the obtained to-be-identified literature by utilizing the final extraction rule so as to extract a medical specific reference and an interaction relationship thereof in the to-be-identified literature. The invention also relates to a blockchain technology. The candidate extraction rule set is stored in the blockchain. According to the technical scheme, the problem that in an existing medical literature extraction method, the medical specific reference and the interaction relation of the medical specific reference cannot be automatically analyzed can be solved.

Description

technical field [0001] The present invention relates to the technical field of information extraction, in particular to a method, system, device and storage medium for extracting specific medical references and their relationships. Background technique [0002] In the process of medical literature analysis, it is usually necessary to extract entities from the literature to find out the medical entities appearing in the articles, and then perform subsequent more complex analysis based on the results of entity extraction. There are many types of medical entities, such as diseases and drugs. Among them, "cancer" and "body part" are two important medical entities. "Cancer" class entities include adenocarcinoma, squamous cell carcinoma, melanoma, etc., and "body parts" class entities include stomach, esophagus, lung, etc. [0003] After the entities are extracted, the system generally also extracts the relationship between entities according to the semantics of the article, suc...

Claims

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Application Information

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IPC IPC(8): G06F40/279
CPCG06F40/279
Inventor 顾大中吴汇哲
Owner PING AN TECH (SHENZHEN) CO LTD
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