Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Symptom diagnosis method and device based on deep neural network

A deep neural network and symptom technology, applied in the field of symptom diagnosis based on deep neural network, can solve the problems of backward technology, inconvenient self-diagnosis of diseases, high price, etc., to achieve simple operation, save medical treatment costs, and save medical expenses the effect of time

Inactive Publication Date: 2019-03-08
小伍健康科技(上海)有限责任公司
View PDF7 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In recent years, many automatic diagnosis instruments of traditional Chinese medicine have been launched on the market, but these instruments all require special equipment, and the price is relatively expensive, and the technology used is relatively backward
The traditional Chinese medical diagnosis system currently on the market is generally divided into a tongue image collection unit and a constitution identification unit, which need to use a specific computer and shooting device to analyze the tongue shape, tongue color, tongue network, tongue state, fur color, fur shape, fur Quality, facial image-opposite image, face, expression, expression, color, use the method of drop-down standard options and compare the standard chart to draw conclusions by yourself. According to the requirements of "Traditional Chinese Medicine Constitution Classification and Judgment", conduct interrogation, and automatically distinguish 9 basic constitutions and 44 compound constitutions, provide clinical basis, and can obtain constitution types, constitution characteristics, incidence tendency, and environmental adaptability and other individual health conditions, and give personalized health conditioning programs and classic prescriptions such as diet conditioning, drug conditioning, exercise conditioning, and diet recipes. However, this kind of traditional Chinese medicine diagnostic equipment has a huge system and can only be used in hospitals. Personal self-help cannot be used. This brings great inconvenience to individuals self-diagnosing diseases

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Symptom diagnosis method and device based on deep neural network
  • Symptom diagnosis method and device based on deep neural network
  • Symptom diagnosis method and device based on deep neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0044] This embodiment provides another symptom diagnosis method based on deep neural network, such as image 3 as shown, image 3 It is a flow chart of another deep neural network-based symptom diagnosis method according to Embodiment 1 of the present invention, including the following steps:

[0045] Step S301: The symptom diagnosis device searches for entities related to Chinese medicine from Chinese medicine books through the entity recognition method in natural language processing;

[0046] In the embodiment of the present invention, the above-mentioned entities related to Chinese medicine include symptoms and prescriptions; Chinese medicine books can be "Treatise on Febrile Diseases", "Treatise on Febrile Diseases" and other ancient Chinese classics, through the entity recognition method in natural language processing, from Chinese medicine books All the entities involved in the field of traditional Chinese medicine are analyzed;

[0047] Optionally, the symptom diagno...

Embodiment 2

[0066] This embodiment provides yet another symptom diagnosis method based on a deep neural network, such as Figure 4 as shown, Figure 4 It is a flow chart of another deep neural network-based symptom diagnosis method according to Embodiment 2 of the present invention, including the following steps:

[0067] Step S401: The symptom diagnosis device searches for entities related to Chinese medicine from Chinese medicine books through the entity recognition method in natural language processing;

[0068] In the embodiment of the present invention, the above-mentioned entities related to Chinese medicine include symptoms and prescriptions; Chinese medicine books can be "Treatise on Febrile Diseases", "Treatise on Febrile Diseases" and other ancient Chinese classics, through the entity recognition method in natural language processing, from Chinese medicine books All the entities involved in the field of traditional Chinese medicine are analyzed;

[0069] Optionally, the sympto...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a symptom diagnosis method and device based on a deep neural network, and the method comprises the steps: constructing a TCM (traditional Chinese medicine) knowledge map; recognizing a physical type represented by a tongue image inputted by a user; obtaining symptom information inputted by the user; determining a target special use occasion according to the symptom information; searching for the consultation questions and the multiple answers to the consultation questions that are matched with the constitution type and the target special occasion from the TCM knowledgemap; obtaining the answers to the inquiry questions inputted by the user; and obtaining a treatment prescription for symptom information according to the answers to the inquiry questions. According tothe present invention, it is possible to enable an individual to self-diagnose a disease, which is very advantageous for the user to self-diagnose a mild disease.

Description

technical field [0001] The invention relates to the technical field of disease diagnosis equipment, in particular to a symptom diagnosis method and equipment based on a deep neural network. Background technique [0002] In recent years, many automatic diagnosis instruments of traditional Chinese medicine have been launched on the market, but these instruments all require special equipment, and the price is relatively expensive, and the technology used is relatively backward. The traditional Chinese medical diagnosis system currently on the market is generally divided into a tongue image collection unit and a constitution identification unit, which need to use a specific computer and shooting device to analyze the tongue shape, tongue color, tongue network, tongue state, fur color, fur shape, fur Quality, facial image-opposite image, face, expression, expression, color, use the method of drop-down standard options and compare the standard chart to draw conclusions by yourself...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H20/90G06F16/332G06F16/36
CPCG16H20/90G16H50/20
Inventor 甘少敏伍梓境
Owner 小伍健康科技(上海)有限责任公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products