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Quality control method for electrocardiogram diagnosis report

A technology of diagnosis report and quality control method, applied in medical reports, neural learning methods, medical automatic diagnosis, etc., can solve problems such as failure to obtain low-level errors in ECG diagnosis reports

Pending Publication Date: 2020-09-25
SHANGHAI SID MEDICAL CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is: in order to solve the situation that low-level errors in the electrocardiogram diagnosis report cannot be obtained in the prior art, thereby providing a quality control method for the electrocardiogram diagnosis report

Method used

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  • Quality control method for electrocardiogram diagnosis report
  • Quality control method for electrocardiogram diagnosis report
  • Quality control method for electrocardiogram diagnosis report

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Experimental program
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Embodiment

[0022] This embodiment provides a quality control method for electrocardiogram diagnosis report, such as figure 1 shown, including:

[0023] S1: Obtain the electrocardiographic diagnostic terms included in some clinical electrocardiogram conclusions;

[0024] S2: preprocessing the electrocardiographic diagnosis term, and constructing a training set and a test set of a recurrent neural network model with the preprocessed electrocardiogram conclusion data meeting the writing specification requirements;

[0025] S3: the current electrocardiographic diagnosis term of each electrocardiogram conclusion in the training set and the test set is used as input, and the adjacent next electrocardiographic diagnosis term is used as output, training recurrent neural network, and saving the trained recurrent neural network model;

[0026] S4: Utilize the trained recurrent neural network model, the current electrocardiographic diagnosis term of the electrocardiogram conclusion in the quality ...

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Abstract

The invention relates to a quality control method for an electrocardiogram diagnosis report. The method comprises the steps: obtaining electrocardiogram diagnosis terms contained in a plurality of clinical electrocardiogram conclusions, and constructing a training set and a test set of a recurrent neural network model through preprocessing; taking the kth electrocardiogram diagnosis term containedin each electrocardiogram conclusion in the training set and the test set as input, taking the (k+1)th electrocardiogram diagnosis term as output, and training a recurrent neural network; and utilizing the trained recurrent neural network model to predict the (k+1)th electrocardiogram diagnosis term of the electrocardiogram conclusion in the electrocardiogram diagnosis report to be subjected to quality control, and judging whether the corresponding electrocardiogram diagnosis report has a low-level error. According to the invention, some low-level errors when an electrocardiogram doctor givesa conclusion can be corrected, and intelligent prompts can be provided for clinical diagnosis.

Description

technical field [0001] The application belongs to the technical field of electrocardiogram diagnosis, and in particular relates to a quality control method of electrocardiogram diagnosis report. Background technique [0002] With the gradual increase of people's life rhythm and pressure, heart disease has become one of the major killers threatening people's life and health. Cardiovascular disease has become a frequently-occurring and common disease in my country. According to the survey data released by the Ministry of Health, the prevalence of heart disease in my country is very high, and it is increasing year by year, and the age of onset of coronary heart disease and myocardial infarction tends to Due to younger age, myocardial infarction and stroke are not uncommon around the age of 30. [0003] In order to detect and treat heart disease early, accurate analysis and diagnosis of electrocardiogram play a key role in cardiovascular disease. Electrocardiogram reflects the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H15/00G16H50/20G06N3/04G06N3/08G06F40/279
CPCG16H15/00G16H50/20G06N3/08G06F40/279G06N3/045
Inventor 朱俊江王雨轩濮玉范婵娇张顺宇
Owner SHANGHAI SID MEDICAL CO LTD
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