Disease auxiliary classification system and method based on medical record AI semantic analysis

Abstract

The invention discloses an auxiliary disease classification system based on medical record AI semantic analysis, and the system comprises a medical record storage module which comprises a newly-added medical record storage unit and a training sample medical record storage unit, the newly-added medical record storage unit is used for storing input newly-added electronic medical records, and the training sample medical record storage unit is used for storing training samples; the training sample medical record storage unit is used for storing input sample electronic medical records for neural network training; the semantic annotation module is used for reading the sample electronic medical record and carrying out entity, attribute and relation annotation on disease description and diagnosis results in the sample electronic medical record so as to be trained by a neural network; the neural network module is used for reading the labeled sample electronic medical record for training, reading the disease description in the newly-added electronic medical record, labeling the disease description of the newly-added electronic medical record according to a training result and giving a possible diagnosis result; and the medical record acquisition module is used for inputting a newly-added electronic medical record. The invention further discloses an auxiliary disease classification method based on medical record AI semantic analysis.

Description

technical field [0001] The present invention relates to the field of information technology, in particular to a disease auxiliary classification system and method based on AI semantic analysis of medical records. Background technique [0002] With the development of computer information technology, at present, more and more medical institutions are beginning to use information technology to improve efficiency, such as the information management of medical records, but most of them only directly process the new medical records and store them for easy reference. , the lack of in-depth use of data, such as the reference value of the existing electronic medical record database when doctors diagnose new medical records, or even if it reflects the reference value, it is mainly through the active use of doctors on existing electronic medical records. Retrieval is implemented, resulting in a huge workload for doctors, and the use and efficiency of existing electronic medical record ...

AI Technical Summary

Problems solved by technology

[0002] With the development of computer information technology, at present, more and more medical institutions are beginning to use information technology to improve efficiency, such as the information management of medical records, but most of them only directly process the new medical records and store them for easy reference. , the lack of in-depth use of data, such as the reference value of the existing electronic medical record database when doctors diagnose new medical records, or even if it reflects the reference value, it is mainly through the active use of doctors on existing electronic medical records. Retrieval is implemented, resulting in a huge workload for doctors, and the use and efficiency of existing electronic medical record data are low

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