Decision-making model establishing method for auxiliary medical system

A decision-making model and method-building technology, which is applied in computer-aided medical procedures, medical automated diagnosis, biological neural network models, etc., can solve the problems of low maturity of decision-making models and achieve high accuracy and strong robustness

Pending Publication Date: 2020-08-21
CENT SOUTH UNIV
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the decision-making model of the existing auxiliary medical system is not mature enough, and the analysis results made deviate greatly from the actual situation

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
  • Decision-making model establishing method for auxiliary medical system
  • Decision-making model establishing method for auxiliary medical system
  • Decision-making model establishing method for auxiliary medical system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0039] refer to Figure 1-3 , a specific embodiment of the present invention includes the following steps,

[0040] A. Use the support vector machine to construct the first classifier, and use the directed acyclic graph support vector machine to construct the second classifier;

[0041] B. Use the neural network to supplement the support vector machine, so as to hedge the risk when the support vector machine makes an error;

[0042] C. Integrating support vector machines and neural networks through ensemble learning.

[0043] In step A,

[0044] Suppose the sample set is {(x 1 ,y 1 ), (x 2 ,y 2 ),..., (x n ,y n )}, x i ∈R d , the equation of the hyperplane is: ω T x+b=0, the optimization problem of support vector machine is equivalent to finding a set of suitable parameters (ω, b), so that the following equations are established,

[0045]

[0046] With the help of Lagrange function and dual problem, the above problem can be simplified into the following equation...

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 decision model establishing method for an auxiliary medical system. The method comprises the following steps of: A, establishing a first classifier by using a support vectormachine, and establishing a second classifier by using a directed acyclic graph support vector machine; B, supplementing the support vector machine by using a neural network to realize elimination ofrisks in a manner of hedging when the support vector machines go wrong; and C, integrating the support vector machines and the neural network through ensemble learning. According to the invention, thedefects in the prior art can be overcome, and the accuracy of inspection data analysis is improved.

Description

technical field [0001] The invention belongs to the technical field of auxiliary medical equipment, in particular to a method for establishing a decision model for an auxiliary medical system. Background technique [0002] With the development of society, people pay more and more attention to their own health problems. As a large developing country, my country is currently rapidly entering an outbreak period of medical demand. my country's population has reached 1.45 billion, more than 5,600 people can share one doctor, and one doctor needs to treat 72 patients a day. In big cities, hospitals treat more than 1 million people every year on average, while hospitals with higher standards and richer medical resources have to accept more than 3.5 million people every year. And 80% of my country's medical resources are distributed in big cities and developed areas. The permanent population of these areas is about 3 million, accounting for only 7% of the total population. The r...

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): G16H50/20G06K9/62G06N3/04
CPCG16H50/20G06N3/045G06F18/213G06F18/2411
Inventor 吴嘉庄庆贺陈焕泽谭延林田晓明
Owner CENT SOUTH UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap