Predictive modelling method application to computer-aided medical diagnosis

A computer-aided, medical diagnosis technology used in computing, special data processing applications, instruments, etc.

Inactive Publication Date: 2004-02-25
NANJING UNIV
View PDF0 Cites 82 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a high-precision, high-understandability pr...

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
  • Predictive modelling method application to computer-aided medical diagnosis
  • Predictive modelling method application to computer-aided medical diagnosis
  • Predictive modelling method application to computer-aided medical diagnosis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0010] Such as figure 1 As shown, the computer-aided medical diagnosis device uses medical symptom detection equipment such as body temperature, blood pressure measurement equipment, etc. to obtain the symptoms of the subject to be diagnosed, such as body temperature, blood pressure, etc., and then quantifies the symptoms to obtain a symptom vector, such as [t 1 , t 2 ,...,t n ], where t 1 represents the first symptom value, t 2 represents the second symptom value, and so on. The symptom vector is handed over to the prediction model for processing, and the digital representation of the prediction result and explanation can be obtained. After text processing, the final diagnosis conclusion and explanation submitted to the user are generated.

[0011] The method of the present invention is as figure 2 shown. Step 10 is the initial action. Step 11 judges whether the prediction model has been trained, and if it has been trained, it can handle the diagnosis task, then go to...

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 present invention discloses a prediction model-building method for computer-aided medical diagnosis. It utilizes the medical symptom detection equipment to obtain the symptom of object to be diagnosed to form symptomatic vector, then utilizes the prediction model to make treatment so as to can obtain prediction result. It also provides its concrete steps for implementing said invented prediction model-building method.

Description

1. Technical field [0001] The invention relates to a computer-aided medical diagnosis device, in particular to a high-precision and high-understandability predictive modeling method using neural network integration technology and rule learning technology. 2. Background technology [0002] With the development of computer technology, computer-aided medical diagnosis equipment has become an important auxiliary diagnosis method because it is not affected by factors such as fatigue and emotion. Computer-aided medical diagnosis devices usually use some predictive modeling methods to analyze historical cases to establish a predictive model, and then use the predictive model to diagnose new cases, and the results are submitted to medical experts for further analysis and diagnosis. Reduce the workload of medical experts to a certain extent. Therefore, predictive modeling methods are the key to computer-aided medical diagnosis devices. On the one hand, due to the precision of medic...

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): G06F19/00
Inventor 周志华
Owner NANJING 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