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ICD automatic coding method for electronic medical records based on deep learning

An electronic medical record and automatic coding technology, applied in neural architecture, patient-specific data, biological neural network models, etc. Effect

Pending Publication Date: 2020-07-10
SOUTHWEST JIAOTONG UNIV
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  • Abstract
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  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem of inconvenient use of electronic medical records, and propose an electronic medical record ICD automatic coding method based on deep learning

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  • ICD automatic coding method for electronic medical records based on deep learning
  • ICD automatic coding method for electronic medical records based on deep learning
  • ICD automatic coding method for electronic medical records based on deep learning

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Embodiment Construction

[0078] Embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0079] Such as figure 1 As shown, the present invention provides a kind of electronic medical record ICD automatic coding method based on deep learning, comprises the following steps:

[0080] S1: Use vector representation technology to vectorize the electronic medical record and medical code respectively, and obtain the feature vector of the medical record and the feature vector of the medical code;

[0081] S2: Use the convolutional neural network to learn the information of the electronic medical record in the feature vector of the medical record to obtain the text vector; use the gated neural unit to learn the information of the medical code in the medical code feature vector to obtain the medical code vector;

[0082] S3: Use the attention mechanism to calculate the objective function according to the text vector and the medical coding vector;

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Abstract

The invention discloses an ICD automatic coding method for electronic medical records based on deep learning. The method comprises the following steps: S1, carrying out vectorization on electronic medical records and medical codes respectively, and acquiring medical record feature vectors and medical code feature vectors; S2, learning information of the electronic medical records to obtain text vectors, and learning the information of the medical codes to obtain medical code vectors; S3, calculating a target function; and S4, reducing differences between the electronic medical records and themedical codes according to the target function so as to complete the ICD automatic coding of the electronic medical records. According to the coding method of the invention, coding candidates are provided for encoders, manual intervention is reduced, and coding efficiency is improved. Through coding, the electronic medical records are well applied secondarily, and statistics and analysis of medical data are better facilitated. Compared with the prior art, the method of the invention has the following advantages: all the electronic medical records come from real ward records of intensive care units and have the characteristics of high authenticity and feasibility, and the method has the advantages of high accuracy and universality.

Description

technical field [0001] The invention belongs to the technical field of medical data processing, and in particular relates to an electronic medical record ICD automatic coding method based on deep learning. Background technique [0002] Medical records in the medical field are free texts, which are written and recorded by doctors to record the patient's course of disease, including the patient's own or others' subjective description of the condition, the results of the medical staff's objective examination of the patient, and the results of the medical staff's analysis of the patient's condition. The clinical information contained in electronic medical records has high practical application value, such as tracking of patients' health status, epidemic analysis of diseases, quality of medical services, and medical decision support. However, this information is difficult to use directly, because it is difficult to summarize and classify the free text records and storage methods....

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H10/60G06N3/04
CPCG16H10/60G06N3/045
Inventor 滕飞陈婕马征黄路非陈俐
Owner SOUTHWEST JIAOTONG UNIV
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