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

Pulmonary tuberculosis intelligent identification method based on conventional test data

A technology for routine inspection and intelligent identification, applied in the field of laboratory medicine, can solve problems such as high cost and experience dependence, low disease identification efficiency and accuracy, and inability to meet the needs of tuberculosis prevention and treatment.

Pending Publication Date: 2021-04-09
内蒙古卫数数据科技有限公司
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The purpose is to solve the problem that the existing diagnostic methods for tuberculosis have low disease identification efficiency and accuracy, high cost and experience dependence, and cannot meet the needs of tuberculosis prevention and control under the current situation of unbalanced medical resources.

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
  • Pulmonary tuberculosis intelligent identification method based on conventional test data
  • Pulmonary tuberculosis intelligent identification method based on conventional test data
  • Pulmonary tuberculosis intelligent identification method based on conventional test data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0023] In the existing medical testing, conventional methods such as acid-fast bacteria smear microscopy, Mycobacterium tuberculosis isolation and culture, and drug susceptibility testing are still the main methods for the diagnosis of pulmonary tuberculosis in various countries. This traditional method relies on the quality of bacterial samples. At the same time, due to the long period of bacterial culture, it is greatly affected by the experimental environment and...

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 pulmonary tuberculosis intelligent identification method based on conventional test data, which is characterized in that the conventional test data and test index data of laboratories including blood routine examination, biochemical examination, urine routine examination and the like are used, and a machine learning method is used for training one or more classifiers to intelligently recognize whether a patient suffers from pulmonary tuberculosis or not; and the classifiers are deployed to a hospital lis system for receiving real-time inspection data to complete intelligent identification of pulmonary tuberculosis. The method aims to solve the problems that an existing pulmonary tuberculosis diagnosis method is low in disease recognition efficiency and accuracy and high in cost and experience dependence, and cannot meet pulmonary tuberculosis prevention and treatment requirements under the current situation that medical resources are unbalanced.

Description

technical field [0001] The invention relates to the field of laboratory medicine, in particular to a method for identifying pulmonary tuberculosis based on conventional test data. Background technique [0002] Tuberculosis is an infectious disease that seriously threatens people's lives. At present, conventional methods such as acid-fast bacteria smear microscopy, Mycobacterium tuberculosis isolation and culture, and drug susceptibility testing are still the main methods for bacteriological diagnosis in various countries. It is not only the most important means of finding the source of infection, but also a reliable indicator for diagnosing tuberculosis, selecting treatment options, assessing curative effects, and evaluating the effectiveness of prevention and treatment. However, this traditional method relies on the quality of bacterial samples. At the same time, due to the long period of bacterial culture, it is greatly affected by the experimental environment and doctor's...

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): G16H50/70G06N3/08
CPCG16H50/70G06N3/08
Inventor 陈超宋彪罗祎斐
Owner 内蒙古卫数数据科技有限公司
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