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Quality control system for electrocardiogram diagnosis report

A diagnostic report and electrocardiogram technology, which is applied in medical reports, medical automated diagnosis, electrical digital data processing, etc., can solve the problem of inability to obtain low-level errors in ECG diagnostic reports

Pending Publication Date: 2020-09-25
SHANGHAI SID MEDICAL CO LTD
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  • Summary
  • 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 system for the electrocardiogram diagnosis report

Method used

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  • Quality control system for electrocardiogram diagnosis report
  • Quality control system for electrocardiogram diagnosis report
  • Quality control system for electrocardiogram diagnosis report

Examples

Experimental program
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Embodiment

[0022] This embodiment provides a quality control system for an electrocardiogram diagnostic report, including:

[0023] The data collection module is used to collect the electrocardiographic diagnostic terms included in the conclusions of several clinical electrocardiograms;

[0024] A preprocessing module is used to preprocess the electrocardiographic diagnosis term, and construct a training set and a test set of a recurrent neural network model with the preprocessed electrocardiogram conclusion data that meets the requirements of the writing specification;

[0025] The model training module is used to use the current ECG diagnosis term of each ECG conclusion in the training set and the test set as input, and the next adjacent ECG diagnosis term as output, train the recurrent neural network, and save the trained cycle neural network model;

[0026] The prediction module is used to use the trained recurrent neural network model to input the current ECG diagnostic terminology...

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Abstract

The invention relates to a quality control system for an electrocardiogram diagnosis report. The system 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, in particular to a quality control system for 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 health stat...

Claims

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Application Information

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IPC IPC(8): G16H15/00G16H50/20G06N3/04G06N3/08G06F40/279
CPCG16H15/00G16H50/20G06N3/08G06F40/279G06N3/045
Inventor 朱俊江黄浩王雨轩汪黎超朱志超
Owner SHANGHAI SID MEDICAL CO LTD
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