Clinical diagnosis aid decision-making system and medical knowledge graph accumulation method

Abstract

The invention belongs to the technical field of clinical diagnosis, and discloses a clinical diagnosis aid decision-making system and a medical knowledge graph accumulation method. The system comprises a vital sign acquisition module, a medical image acquisition module, a central control module, a diagnosis analysis module, a treatment scheme recommendation module, a medical knowledge retrieval module, an atlas creation module, a data storage module and a display module. According to the invention, the model is trained by using historical data of various disease types through the diagnosis analysis module, so the effect of pre-diagnosing a plurality of disease types by only one model can be achieved, the system is very suitable for clinical diagnosis management and maintenance, and the diagnosis analysis result is accurate; meanwhile, the medical knowledge graph is created through the graph creation module, and the medical data is managed through the medical knowledge graph, so when the medical data is used, the medical data can be extracted through the medical knowledge graph, and the convenience of using the medical data can be improved to a certain extent.

Description

technical field [0001] The invention belongs to the technical field of clinical diagnosis, and in particular relates to an auxiliary decision-making system for clinical diagnosis and a method for accumulating medical knowledge graphs. Background technique [0002] Clinical diagnosis means that the doctor examines the disease of the patient and makes a classification and identification of the etiology and pathogenesis of the patient's disease, which is used as a method and way to formulate a treatment plan. The first step in diagnosis is to collect medical history data by asking patients about their subjective symptoms. Medical history can play a directional role in diagnosis and can prompt clues to diagnosis. However, the existing auxiliary decision-making system for clinical diagnosis is inaccurate for diagnostic analysis; at the same time, due to the large amount of medical data, the efficiency of data processing in the existing scheme is low, which leads to the increase ...

AI Technical Summary

Problems solved by technology

[0003] To sum up, the problems existing in the existing technology are: the existing auxiliary decision-making system for clinical diagnosis is inaccurate for diagnostic analysis; at the same time, due to the relatively large medical data, the efficiency of data processing in the existing scheme is low, resulting in data The difficulty of management increases, and the convenience of using medical data is low

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