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Traditional Chinese medicine electronic medical record entity relationship extraction method based on entity relationship labeling strategy

A technology of entity relationship and electronic medical records, applied in relational databases, electronic digital data processing, instruments, etc., can solve problems such as error accumulation, traditional series method error transmission, and inaccurate relationship classification

Active Publication Date: 2019-11-12
KUNMING UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The present invention provides a method for extracting entity relationships from TCM electronic medical records based on entity relationship labeling strategy, which can easily convert the extraction problem into a labeling task, and can avoid error transmission, error accumulation, inaccurate relationship classification, etc. caused by the traditional series method question

Method used

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  • Traditional Chinese medicine electronic medical record entity relationship extraction method based on entity relationship labeling strategy
  • Traditional Chinese medicine electronic medical record entity relationship extraction method based on entity relationship labeling strategy
  • Traditional Chinese medicine electronic medical record entity relationship extraction method based on entity relationship labeling strategy

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Embodiment 1

[0054] Embodiment 1: as Figure 1-3 As shown, a method for extracting entity relationships from electronic medical records of traditional Chinese medicine based on the entity relationship labeling strategy, the specific steps of the method are as follows:

[0055] Step1. First desensitize the electronic medical records of orthopedics in traditional Chinese medicine, and then preprocess the electronic medical records of traditional Chinese medicine, transform the original structure of the medical records into a data structure that can be processed by the computer, and remove patient privacy and other information that is not related to entity relationship extraction;

[0056] Further, the specific steps of the step Step1 are as follows:

[0057] Step1.1. First desensitize the electronic medical records of TCM orthopedics, and then remove the patient's privacy. Privacy includes: name, bed number, hospital number, address and other key private information that can be easi...

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Abstract

The invention relates to a traditional Chinese medicine electronic medical record entity relationship extraction method based on an entity relationship labeling strategy, and belongs to the technicalfield of computer natural language processing. According to the method, firstly, a method for entity relationship joint labeling based on a new labeling strategy is used for acquiring a required entity relationship corpus, then a Bi-lstm model is used for processing a labeled entity relationship, and finally, a crawler is used for complementing the incomplete entity relationship. The final model avoids the problems of mistake transmission, error accumulation and relationship classification inaccuracy which are caused by a traditional series connection method.

Description

technical field [0001] The invention relates to a method for extracting entity relationships from electronic medical records of traditional Chinese medicine based on an entity relationship labeling strategy, and belongs to the technical field of computer natural language processing. Background technique [0002] As a part of the electronic medical record, the electronic medical record of traditional Chinese medicine is the work record of the digital medical service of traditional Chinese medicine, which contains a large amount of relevant knowledge in the field of traditional Chinese medicine. Building a knowledge map in the field of traditional Chinese medicine will make it easier for the knowledge of the electronic medical record of traditional Chinese medicine to be transferred between computers and The communication between computers and people can bring more efficient and accurate medical services, but the current research on knowledge mining and utilization of electroni...

Claims

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Application Information

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IPC IPC(8): G16H10/60G06F17/27G06F16/951G06F16/81G06F16/36G06F16/28G06F21/62
CPCG16H10/60G06F16/951G06F16/81G06F16/367G06F16/288G06F21/6245G06F2221/2107
Inventor 黄青松陈尧文谢先章刘利军冯旭鹏
Owner KUNMING UNIV OF SCI & TECH
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