Multi-disciplinary clinical examination combination recommendation method and device

Abstract

The invention provides a multi-disciplinary clinical examination combination recommendation method and device, a combination of examination items that a patient should accept can be recommended, and adoctor can be assisted to make a diagnosis. The method comprises a step of obtaining symptom information of the patient, a step of inputting the symptom information into a constructed multi-label Bayesian classifier to obtain a prediction set of diseases of the patient, wherein the multi-label Bayesian classifier is obtained by training symptoms extracted from an electronic medical record and a diagnosis result, and a step of determining a recommendation item combination of medical examination from a medical knowledge map according to the prediction set, wherein the medical knowledge map includes a symptom entity, a disease entity, a single examination entity and an examination group entity, and the examination group entity is determined by calculating a frequent item set of the single examination entity.

Description

technical field [0001] The invention relates to the field of medical technology, in particular to a method and device for recommending clinical examination combinations applicable to multiple disciplines. Background technique [0002] Most of the existing clinical auxiliary diagnosis systems are based on similarity matching, selecting the case most similar to the patient's condition for diagnosis and treatment service recommendation. This method ignores the differences in some other attributes among individuals, and the recommended diagnosis and treatment methods are not necessarily the best. [0003] The knowledge graph is a structured semantic knowledge base, which is used to describe the concepts and their relationships in the physical world in a symbolic form. Yes, entities are connected to each other through relationships to form a networked knowledge structure. [0004] However, the current application of knowledge maps in the medical field is usually medical informa...

AI Technical Summary

Problems solved by technology

[0004] However, the current application of knowledge maps in the medical field is usually medical information search engines and medical question answering systems. How to apply medical knowledge maps to medical examination recommendations to assist diagnosis is not considered by those skilled in the art.

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