An auxiliary diagnosis and treatment system based on knowledge graph

Abstract

The invention discloses an assistant diagnosis and treatment system based on a knowledge graph. The system comprises a database, a patient information processing module and a diagnosis and treatment scheme push module, wherein the database is used for storing the medical knowledge graph, and the knowledge graph takes medical operations as nodes and takes the patient state between every two continuous medical operations as an edge; the patient information processing module receives information of a patient, extracts historical medical operations and patient state information and sends the historical medical operations and the patient state information to the diagnosis and treatment scheme push module; the diagnosis and treatment scheme push module acquires the knowledge graph from the database, matches the patient information with the knowledge graph according to the direction indicated by the edge in the knowledge graph, determines the position of the current state, in the knowledge graph, of the patient, and pushes a to-be-detected medical index and / or the next diagnosis and treatment operation based on the knowledge graph. By means of the assistant diagnosis and treatment system,the diagnosis and treatment stage of the patient can be quickly known, and a next diagnosis and treatment advice is given.

Description

Technical field[0001]The invention belongs to the technical field of medical information data processing, and particularly relates to an auxiliary diagnosis and treatment system based on a knowledge graph.Background technique[0002]The statements in this section merely provide background information related to the present disclosure, and do not necessarily constitute prior art.[0003]As one of the diseases with the highest mortality rate in my country, malignant tumors have the characteristics of being difficult to prevent, complicated treatment process, poor treatment effect, and high recurrence rate. The process of cancer treatment is complex and changeable. It is a multidisciplinary field of medicine. Because it is difficult for clinicians to obtain the latest medical knowledge of cancer in time, it is often difficult to accurately judge and deal with certain symptoms of patients.[0004]In recent years, although hospitals have made great progress in information construction, there h...

AI Technical Summary

Problems solved by technology

[0005] One is a pure oncology knowledge base, in which doctors can consult knowledge on oncology. However, these systems are not connected with doctors' clinical work, and cannot intelligently provide help when doctors need guidance;

[0006] Another type of system is represented by IBM's Watson system. These systems can collect patient information and then recommend a treatment plan suitable for the patient. However, this type of system focuses on the selection of the overall treatment plan and ignores the assistance to each step in the treatment process. Guidance, which leads to the inability of these systems to provide the necessary guidance to deal with unexpected emergencies and complications when patients have unexpected emergencies and complications

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