ICD automatic coding method and system for diagnosis reason visualization

Abstract

The invention discloses an ICD automatic coding method and system for diagnosis reason visualization. The method comprises the following steps: acquiring medical record data from a medical record document library, and constructing a multi-label classification data set; preprocessing the data set, and converting the multi-label classified data set into a plurality of single-label classified data sets; completing training of a hierarchical attention neural network model based on the data sets of the plurality of single-label classifications; inputting doctor writing diagnosis data and illness state description data into the trained hierarchical attention neural network model so as to obtain predicted ICD codes and names; and according to the predicted ICD name, extracting a corresponding sentence from the disease description data as a diagnosis reason for visualization. According to the method, doctor writing diagnosis and medical record description data are used as mode features at thesame time, doctor writing diagnosis is ingeniously used as supervision information in the classification process, traditional multi-label classification is converted into a simpler single-label classification problem, and therefore the accuracy of model coding is improved.

Description

technical field [0001] The invention relates to the technical field of ICD coding, in particular to an ICD automatic coding method and system for visualizing diagnosis causes. Background technique [0002] With the continuous reform and implementation of medical insurance policies, the management of medical records in hospitals has become more standardized, and electronic medical records have been widely used as a carrier of medical data. Among them, disease classification coding is one of the main tasks of medical record management. The electronic medical records after coding can make the management and analysis of medical data more convenient. More accurate disease classification can enhance the quality of medical management, making diagnostic examinations, drug decisions, and surgical arrangements more reasonable and targeted. [0003] The International Classification of Diseases (ICD / International Classification of Diseases,) is a medical classification system maintaine...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the problem of low ICD coding accuracy in the prior art, the present invention proposes an ICD automatic coding method and system for visualizing diagnosis causes, which generates classification intentions by using the diagnosis names written by doctors in medical records, and recommends them through a hierarchical attention model. The ICD code corresponding to the medical record to improve the accuracy

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