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Method for identifying disease content in medical record text

A text and content technology, applied in the field of electronic document processing, can solve problems such as structural redundancy and inability to meet the individual characteristics of different diseases, and achieve the effect of improving accuracy

Active Publication Date: 2020-05-22
LINKDOC TECH BEIJING CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, due to the obvious differences between different diseases, the structural methods of medical records are also very different. Using a general structured method will cause a large amount of structural redundancy, which cannot meet the individual characteristics of different diseases.

Method used

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  • Method for identifying disease content in medical record text
  • Method for identifying disease content in medical record text
  • Method for identifying disease content in medical record text

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Experimental program
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Embodiment Construction

[0038] see below Figure 1 ~ Figure 3 The method for identifying disease content in medical record texts described in the present invention is described in detail.

[0039] Such as figure 1 As shown, the method includes the following steps:

[0040] S100: Preprocessing the medical record text information and splitting it into different types.

[0041] Since the medical records contain a variety of textual information, such as patient names, hospital names, etc., the above textual information is regarded as invalid information in this embodiment. Therefore, in this step, the above-mentioned invalid information needs to be cleaned to reduce the amount of subsequent word processing.

[0042] Second, combine figure 2 As shown, the preprocessing also includes dividing the remaining information of the medical records into four categories according to the four items of "discharge diagnosis", "pathological diagnosis", "discharge summary" and "pathological description". In the ac...

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Abstract

The invention provides a method for identifying disease content in a medical record text. The method comprises the following steps: A, splitting the medical record text into different types; B, respectively performing feature vector extraction on the different types of text contents; and C, performing disease confirmation according to the extracted feature vectors. Above all, different from the prior art, the method respects the differentiation of the medical record content, and determines a plurality of types by splitting the medical record content. And feature vector extraction is performedon each type, and disease confirmation is performed based on the extracted feature vectors, so that the accuracy of disease confirmation is improved.

Description

technical field [0001] The invention relates to the technical field of electronic document processing, in particular to a method for identifying disease content in medical record texts. Background technique [0002] The medical industry has a high degree of informatization, but there is a large amount of unstructured data, which seriously affects the quality of clinical medical data, resulting in a low utilization rate of medical data. The resulting demand is that the structuring of medical data is imperative. However, due to the obvious differences between different diseases, the structural methods of medical records are also very different. Using a general structured method will cause a large number of structural redundancy, which cannot meet the individual characteristics of different diseases. Contents of the invention [0003] The main purpose of the present invention is to provide a method for identifying disease content in medical record texts, including steps: ...

Claims

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Application Information

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IPC IPC(8): G06K9/62G16H10/60
CPCG16H10/60G06F18/2411Y02A90/10
Inventor 罗立刚张正宽刘辉张天泽
Owner LINKDOC TECH BEIJING CO LTD
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