Auxiliary disease inference system based on knowledge graph and self-adaptive mechanism

A technology of knowledge graph and reasoning system, applied in the field of auxiliary disease reasoning system, can solve the problems of low accuracy and efficiency of disease reasoning, not considering the imbalance of disease symptom input, etc., to improve interpretability, reduce impact, improve The effect of accuracy

Pending Publication Date: 2022-01-25
GUANGDONG UNIV OF TECH
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Problems solved by technology

[0005] In order to solve the problem that the current auxiliary disease reasoning system does not consider the imbalance of disease symptom input, resulting in low accuracy and low efficiency of disease reasoning, this invention proposes an auxiliary disease reasoning s

Method used

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  • Auxiliary disease inference system based on knowledge graph and self-adaptive mechanism
  • Auxiliary disease inference system based on knowledge graph and self-adaptive mechanism
  • Auxiliary disease inference system based on knowledge graph and self-adaptive mechanism

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Embodiment 1

[0053] Considering that the current disease reasoning assistance system or device relying on the deep learning model uses a large number of diseases with different symptoms to input the deep learning model, and then trains the deep learning model, the deep learning model will be affected by the input imbalance during training, and the clinical symptoms are similar In many cases, the interpretability of deep learning is not strong, resulting in a decline in the accuracy of disease reasoning, and a single deep learning model needs to process the entire input data set, and the model processing burden is relatively large. The embodiment of the present invention proposes A disease reasoning system based on knowledge graph and adaptive mechanism, using the knowledge graph of the triple as the data structure, based on the TransE translation model and naive Bayesian classifier to establish disease reasoning Model, based on the data set division, train the disease inference model, find...

Embodiment 2

[0095] Such as Figure 5 As shown, the present invention also proposes a disease reasoning device based on a knowledge map and an adaptive mechanism, including a memory 106, a processor 107, and a computer program stored on the memory 106 and operable on the processor 107, the processor 107 When executing a computer program, realize:

[0096] Construct a knowledge map with the structure of triples , determine the training data set composed of several triples ; determine the test composed of data set;

[0097] Based on the TransE translation model and Naive Bayesian classifier, construct a disease inference model; divide the training data set, and divide the test data set; use the training data set to train the disease inference model, and determine the division of the training data set, the TransE in the disease inference model The number n of translation models, the number m of naive Bayesian classifiers, and the boundary value M; take the divided test data set as the inp...

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Abstract

The invention provides a disease inference system based on a knowledge graph and a self-adaptive mechanism, and relates to the technical field of computer technologies and auxiliary medical machinery. A disease inference model is constructed by taking the knowledge graph of triad as a data structure and taking a TransE translation model and a naive Bayes classifier as a basis, and the disease inference model is used for inference. Firstly, a data set is divided, a proper number of TransE translation models and naive Bayesian classifiers are searched for each part of the data set to be matched, self-adaptive matching is achieved, the influence of input imbalance on the models can be reduced, the interpretability can be improved through naive Bayesian classifiers, the disease reasoning accuracy of a system is improved, the disease reasoning accuracy of the system is improved, and the working efficiency of medical workers is further improved.

Description

technical field [0001] The present invention relates to the technical field of computer technology and auxiliary medical machinery, and more specifically, relates to an auxiliary disease reasoning system based on a knowledge map and an adaptive mechanism. Background technique [0002] With the development of computer technology, there are many computer technology-based disease reasoning auxiliary medical system equipment. Disease reasoning based on computer technology has made great progress compared with manual reasoning, and the auxiliary disease reasoning system is used as an auxiliary tool for doctors to diagnose diseases. Technology and intelligent computing technology, according to the patient's current disease information, analyze and prompt the patient's condition. [0003] At present, the inference technology based on the auxiliary disease reasoning system, for example, uses the method of deep learning to input diseases with different numbers of symptoms into the s...

Claims

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Application Information

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IPC IPC(8): G16H50/70G16H50/20G06F16/36G06F40/295G06F40/58G06K9/62
CPCG16H50/70G16H50/20G06F16/367G06F40/295G06F40/58G06F18/24155
Inventor 罗柏涛王勇
Owner GUANGDONG UNIV OF TECH
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