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

Cancer prediction system based on early cancer screening questionnaire and feedforward neural network

A feedforward neural network and prediction system technology, applied in the field of cancer prediction system, can solve the problems of inconvenience, large amount, time-consuming and manpower of patients and doctors, and achieve the effect of reducing workload, simple operation and clear results.

Pending Publication Date: 2022-04-08
UNIV OF JINAN +2
View PDF0 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 1. Before cancer diagnosis, a lot of manpower and material resources are needed to screen out high-risk groups
[0007] 2. In the previous cancer diagnosis process, doctors were required to conduct various pathological tests on patients, which brought inconvenience to patients and doctors
[0008] 3. Doctors need to analyze the pathological test results of patients, which takes a lot of time and manpower

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
  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network
  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network
  • Cancer prediction system based on early cancer screening questionnaire and feedforward neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0038] Such as figure 1 , the present embodiment provides a cancer prediction system based on early cancer screening questionnaire and neural network, including:

[0039] (1) The data acquisition module acquires the sample data in the early cancer screening questionnaire. The sample data mainly includes the patient’s lifestyle, personal medical history, cancer family history, environmental factors, pathological data, and other factors collected by the questionnaire. information. And export and convert the questionnaire data into the format required by the predictive model. Among them, the private information in the sample data is ignored, and the questionnaire sample data is saved in the format required by the prediction model. Desensitize the data set, filter personal privacy information such as name, ID number, contact information, and select the input and output characteristic attributes of the model from the initially established data set. Remove unnecessary sample reco...

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 provides a cancer prediction system based on an early cancer screening questionnaire and a feedforward neural network, and the system comprises a data obtaining module which is configured to obtain sample data of the questionnaire, and the sample data comprises patient lifestyle, individual disease history, cancer family history, environmental factors and pathological data collected by the questionnaire; the feature extraction module is configured to extract feature data of the sample data; and the cancer probability prediction module is configured to obtain a cancer prediction probability by adopting a trained cancer prediction model based on the feature data.

Description

technical field [0001] The invention belongs to the field of medical diagnosis, and in particular relates to a cancer prediction system based on an early cancer screening questionnaire and a feedforward neural network. Background technique [0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art. [0003] Cancer traditionally refers to all malignant tumors, referring to a fatal progressive disease. The occurrence of cancer is a long-term and gradual process that goes through multiple pathological stages, which can be divided into three processes: carcinogenesis, cancer promotion, and evolution. Cancer is one of the major diseases that damage human health worldwide. Most malignant tumors have no obvious symptoms in the early stage and are already in the middle and late stages when they are discovered, thus losing the best time for treatment and causing great psychological and ph...

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): G16H50/20G16H50/30G16H50/70G06F21/62G06F16/28G06K9/62G06N3/04G06N3/08
Inventor 孙明旭谢双波肖凌凤陈艳丽徐元章罕
Owner UNIV OF JINAN
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