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

Medical data processing method and system

A technology for medical data and processing methods, which is applied in the fields of electrical digital data processing, special data processing applications, medical automation diagnosis, etc. The effect of stress, improving diagnostic efficiency and reducing misdiagnosis rate

Inactive Publication Date: 2018-04-13
CENT SOUTH UNIV
View PDF6 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This makes it impossible for doctors in some small towns and rural areas to make professional diagnoses for some more complicated diseases, which easily leads to misdiagnosis and prevents many patients from receiving timely treatment
However, it takes a long time to train professional doctors, and it is difficult to solve the medical shortage problem in a short period of time.

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
  • Medical data processing method and system
  • Medical data processing method and system
  • Medical data processing method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] Such as figure 1 , the concrete implementation steps of the present invention are as follows:

[0023] 1) First, the server receives the training data, trains a model through the training module and saves it in the storage device of the server, and sends the model list L saved in the server to the client.

[0024] 2) The client starts to identify, and selects a training model according to the model list L, for example: model X, first searches for model X from the local cache, if not, searches for and downloads model X from the server-side storage.

[0025] 3) After downloading model X, the client starts to load the model, and collects images to start recognition.

[0026] 4) After the recognition is completed, the client will send the result R to the server for the parameter recognition result R, and the server will search the disease database for the disease corresponding to the result R according to the result R, obtain the final diagnosis result Y, and then send Y t...

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 medical data processing method and system. The method includes the following steps: training data is received, a deep learning model is loaded, the training data is input tothe deep learning model, a training model is obtained through a transfer learning method and saved to a server, and a training model list L stored in the server is sent to a client; the client loads the training model, collects a medical image, and uses the training model to identify the medical image to get an identification result R; and the client sends the identification result R to the server, and the server retrieves a disease corresponding to the identification result R in a disease database according to the identification result R and gets a final auxiliary diagnosis result Y. The deeplearning method in artificial intelligence is adopted, and the processing precision of medical data is improved through artificial intelligence.

Description

technical field [0001] The invention relates to the field of medical data processing, in particular to a medical data processing method and system. Background technique [0002] At present, the problem of insufficient medical resources has become a worldwide problem. In some developing countries with large populations, such as China and India, medical resources are very tight, especially the resources of professional doctors. There are not many doctors with high medical technology content, and most of them are concentrated in large and medium-sized cities. This makes it impossible for doctors in some small towns and rural areas to make professional diagnoses for some more complicated diseases, which easily leads to misdiagnosis and prevents many patients from receiving timely treatment. However, it takes a long time to train professional doctors, and it is difficult to solve the medical shortage problem in a short period of time. In recent years, with the development of a...

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
IPC IPC(8): G16H50/20G16H30/00G06F17/30
CPCG06F16/24552G06F16/248
Inventor 刘登超郭克华
Owner CENT SOUTH UNIV
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com