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

Artificial intelligence modeling method facing to macro and micro multi-dimensional early risk assessment of gastric cancer

A technology of artificial intelligence and risk assessment, applied in medical simulation, medical informatics, health index calculation, etc., can solve problems such as accurate risk assessment of non-high-risk groups

Inactive Publication Date: 2019-10-29
TSINGHUA UNIV
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the main problem of early gastric cancer screening is that there is no accurate risk assessment method for high-risk groups to accurately define the target population of gastric cancer screening

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
  • Artificial intelligence modeling method facing to macro and micro multi-dimensional early risk assessment of gastric cancer
  • Artificial intelligence modeling method facing to macro and micro multi-dimensional early risk assessment of gastric cancer
  • Artificial intelligence modeling method facing to macro and micro multi-dimensional early risk assessment of gastric cancer

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0034] In order to verify the accuracy and reliability of the present invention, we have done rigorous clinical validation of the model.

[0035] First, we obtained survey data of 12,961 patients with gastritis or gastric cancer based on the existing epidemiological survey data. And the differences in age and eating habits were analyzed. Through the simulation method, the accuracy of the present invention is verified. The verification process is described in detail below.

[0036] First, according to the different proportions of gastric cancer in different age groups in the database, the older the age, the greater the chance of developing gastric cancer. In order to verify the accuracy of the present invention at the level of age, we simulated the gastric changes in the state of gastritis for 60 years through the model.

[0037] Through simulation, it was found that the longer the time, the higher the possibility of gastric cancer. In addition, we selected four time nodes,...

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

Early screening and early diagnosis are the key affecting prognosis of cancer patients. Early assessment and early warning are performed for a high-risk group, and great scientific value and practicalsignificance on promotion of cancer prevention and early diagnosis are achieved. The invention provides an artificial intelligence modeling method facing to macro and micro multi-dimensional early risk assessment of gastric cancer, multiple gastric cancer risk factors and Chinese and Western medicine phenotypes exposed by an individual can be integrated, gastric cancer risk is simulated and assessed from gene-molecule-cell-system-biological individual macro-micro multiple dimensions, and the cancer suffering risk of a tested person is calculated quantitatively; personalized accurate assessment and early warning are performed for the characteristics of dangerous factors of gastric cancer in different areas. Through verification with 12961 clinical cases, the results show that the algorithmcan effectively predict the risk of the individual suffered from gastric cancer, and is of great clinical significance for improving the early diagnosis and treatment level of gastric cancer.

Description

technical field [0001] The invention relates to an artificial intelligence modeling method for macro-micro multi-dimensional early risk assessment of gastric cancer and a macro-micro multi-dimensional early risk assessment system for gastric cancer. Background technique [0002] Gastric cancer is one of the most common tumors in the digestive tract. There are about 679,000 new cases of gastric cancer and about 498,000 deaths in my country each year. Its morbidity and fatality rate ranks second among malignant tumors. New cases of gastric cancer in my country and deaths account for about 42.6% and 45.0% of the world, seriously threatening people's lives and health [1] . At present, about 90% of gastric cancers discovered in my country belong to the advanced stage, and the prognosis of gastric cancer is closely related to whether early diagnosis and treatment can be made. Early identification and diagnosis of gastric cancer can significantly improve the survival period of pati...

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): G16H50/50G16H50/30
CPCG16H50/50G16H50/30
Inventor 李梢赖新星郭玉成马长征
Owner TSINGHUA 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