ICD coding method and device based on multi-task learning and graph attention network

Abstract

The invention provides an ICD coding method and device based on multi-task learning and a graph attention network. The method comprises the following steps: acquiring a medical text corresponding to at least one coding prediction task; enabling the at least one coding prediction task to comprise an ICD coding task; according to the medical text corresponding to the at least one coding prediction task, constructing a corresponding text graph; inputting the text graph into a coding prediction model to obtain a coding prediction result; and enabling the coding prediction result to comprise an ICD coding result, and obtaining the coding prediction model by training a graph attention network based on training data. According to the ICD coding method and device based on multi-task learning and the graph attention network provided by the invention, the medical text is converted into the text graph before coding prediction, so that the problem of data imbalance can be relieved, the automatic coding effect of the medical text is effectively improved, and the coding result is more accurate and reliable.

Description

technical field [0001] The invention relates to the technical field of medical text processing, in particular to an ICD coding method and device based on multi-task learning and graph attention network. Background technique [0002] The International Code of Disease (ICD) is an internationally unified disease classification method and an important part of the health information standard system. In the field of medical text processing, the ICD coding of medical texts is a very important task. Usually, professional ICD coders complete the coding work. The coders need to read the detailed and heavy medical record information before they can give the correct coding results. There are problems of time-consuming and labor-intensive and low efficiency. [0003] For this reason, automatic ICD coding technology came into being, but the existing automatic ICD coding methods ignore the problem of data imbalance in medical texts, and the obtained ICD coding results are not accurate eno...

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Problems solved by technology

[0005] The present invention provides an ICD coding method and device based on multi-task learning and graph attention network, which is used to solve the problem that the automatic ICD coding method in the prior art ignores the data imbalance in medical texts, and the obtained ICD coding results are not accurate enough Defects

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