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

Breast cancer auxiliary diagnosis method based on conventional test results

A routine inspection and auxiliary diagnosis technology, applied in the field of medical inspection, can solve the problems of low efficiency and accuracy of disease identification, cost and high dependence on experience

Pending Publication Date: 2021-10-22
北京金风易通科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to achieve the goal of identifying and predicting breast cancer, the present invention proposes a method and system for auxiliary diagnosis of breast cancer using conventional test results, the purpose of which is to solve the problem of low disease recognition efficiency and accuracy in the existing diagnostic methods for breast cancer, and the cost and experience-dependent problems

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
  • Breast cancer auxiliary diagnosis method based on conventional test results
  • Breast cancer auxiliary diagnosis method based on conventional test results

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0014] The overall structure of the embodiment of the present invention is as figure 1 As shown, the following will be figure 1 The technical implementation method of the embodiment of the present invention is described in detail as the main line.

[0015] see figure 1 , this embodiment includes a data acquisition module, a data processing module, a model building module, and a disease identification module.

[0016] The data acquisition module of this embodiment is mainly to acquire the routine test data results of the laboratory department of the hospital, so that the quality of the acquired data is effectively guaranteed.

[0017] Preferably, the data processing module of this embodiment includes the following steps: department elimination of routine data, removal of pediatric, emergency, ICU, and physical examination data, and selection of data with disease labels in the routine data.

[0018] Missing value processing. There are generally two ways to deal with missing v...

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

According to the method, the breast cancer is identified and predicted by researching the relation between diseases and data in a conventional test result, and the method belongs to the field of breast cancer screening. The structure of the method comprises a data acquisition module, a data processing module, a model construction module and a disease identification module. According to the method, the breast cancer probability of a patient is detected on the basis of conventional test item results of blood routine examination, hormone level (six items), biochemistry and the like, so medical diagnosis is assisted, and the method plays an important role in early diagnosis and positive prevention and control of breast cancer.

Description

technical field [0001] The invention relates to an auxiliary diagnosis method for breast cancer based on routine test results, and relates to the field of medical tests. Background technique [0002] The incidence of breast cancer ranks first among female malignant tumors, and it is rapidly increasing in China. It and cervical cancer are called the two "invisible killers" of women. Breast cancer is a phenomenon in which breast epithelial cells proliferate out of control and become malignant under the action of various carcinogenic factors. The early stage of the disease is characterized by breast lumps, nipple discharge, and enlarged axillary lymph nodes. In the late stage, cancer cells may metastasize to multiple organs and cause multiple organ lesions, which directly threaten the life of the patient. The later the disease is detected, the lower the patient's chances of survival. The present invention realizes the identification and prediction of breast cancer based on t...

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): G16H50/20G06K9/62G06N3/04G06N3/08
CPCG16H50/20G06N3/08G06N3/047G06N3/048G06F18/2415G06F18/241
Inventor 陈超宋彪许鸿蕾
Owner 北京金风易通科技有限公司
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