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Paediatrics triage method based on neural network classifier and system

A neural network and classifier technology, applied in the direction of instruments, medical automatic diagnosis, medical care resources or facilities, etc., can solve problems such as difficulties in pediatric triage, achieve a good medical environment, effective configuration, and shorten the waiting time.

Pending Publication Date: 2019-08-23
南通奕霖智慧医学科技有限公司
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  • Claims
  • Application Information

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Problems solved by technology

[0006] Combined with the above analysis, a method based on neural network classifier to achieve triage through self-training is developed to solve the difficulties of existing pediatric triage

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  • Paediatrics triage method based on neural network classifier and system
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  • Paediatrics triage method based on neural network classifier and system

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Embodiment Construction

[0036] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0037] It should be noted that, in the case of no conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0038] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments, but not as a limitation of the present invention.

[0039] In order to solve the above problems, the present invention now provides a pediatric triage method based ...

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Abstract

The invention discloses a paediatrics triage method based on a neural network classifier and a system, wherein the method and the system relate to the field of artificial intelligence technology. Thetriage method particularly comprises the following steps of S1, performing preliminary interrogation on a child patient for obtaining symptom data of the child patient; S2, acquiring body condition data of the child patient; S3, processing the interrogation data and the body condition data according to the pre-generated neural network classifier for obtaining a corresponding triage result; S4, generating a triage report of the child patient according to the triage result; and S5, guiding the child patient according to the triage report. The method and the system have the following beneficial effects of performing intelligent triage on severe and mid acute child patients based on the neural network classifier, realizing high triage accuracy, shortening diagnosis waiting time, creating a treatment opportunity to the child patient, creating a good diagnosis environment and effectively configuring a medical resource.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a pediatric triage method and system based on a neural network classifier. Background technique [0002] Neural network is a research hotspot in the field of artificial intelligence since the 1980s. It abstracts the human brain neuron network from the perspective of information processing, establishes a simple model, and forms different networks according to different connection methods. BP neural network is a concept proposed by scientists headed by Rumelhart and McClelland in 1986. It is a multi-layer feed-forward neural network trained according to the error back propagation algorithm. It is currently the most widely used neural network. BP neural network does not need to determine the input in advance. The mathematical equation of the mapping relationship between outputs, only through its own training, learns a certain rule, and obtains the result closest to ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H40/20G06K9/62
CPCG16H50/20G16H40/20G06F18/241
Inventor 秦晶戴柯徐兆红赵肖斌
Owner 南通奕霖智慧医学科技有限公司
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