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

Disease incidence predicting method of acute infectious disease, device and computer-readable storage medium

A prediction method and infectious disease technology, applied in the field of computer-readable storage media and the onset prediction of acute infectious diseases, can solve the problems of quantitative prediction, lag, and complexity, and achieve the effect of improving the prediction ability

Inactive Publication Date: 2019-08-16
PING AN TECH (SHENZHEN) CO LTD
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Prediction in the traditional sense requires more medical-level tests such as pathogen collection, which is relatively complicated and lagging, and it is a qualitative prediction for the incidence of chickenpox, which cannot achieve the effect of quantitative prediction

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
  • Disease incidence predicting method of acute infectious disease, device and computer-readable storage medium
  • Disease incidence predicting method of acute infectious disease, device and computer-readable storage medium
  • Disease incidence predicting method of acute infectious disease, device and computer-readable storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0045] The terms "first", "second", "third", "fourth", etc. (if any) in the specification and claims of the present application and the above drawings are used to distinguish similar objects, and not necessarily Used to describe a specific sequence or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments describ...

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 relates to artificial intelligence technology, and discloses a disease incidence predicting method of an acute infectious disease. The method comprises the steps of acquiring a time sequence dataset which affects time incidence of the acute infectious disease, and performing data processing on the time sequence database according to a preset method for screening main component factordata which affect disease incidence of the acute infectious disease; based on the screened main component factor data which affect disease incidence of the acute infectious disease, according to weighted averaging of a plurality of preset single-item predicting model, constructing a combined predicting model for disease incidence of the acute infectious disease; and automatically predicting the incidence time of the acute infectious disease by means of the calculating formula of the combined predicting model. The invention further provides a device and a computer-readable storage medium. Themethod, the device and the computer-readable storage medium can realize high predicting effect to the acute infectious disease.

Description

technical field [0001] The present invention relates to the technical field of artificial intelligence, in particular to a method, device and computer-readable storage medium for predicting the onset of acute infectious diseases. Background technique [0002] Chickenpox (chickenpox) is an acute infectious disease caused by the varicella-zoster virus, which is more common in children. The clinical features are simultaneous appearance of systemic papules, blisters and scabs. Chickenpox is highly contagious. The majority of chickenpox cases in China are primary school students and nursery children. It is one of the main causes of public health incidents in schools and causes a heavy economic burden. Predicting the incidence trend of varicella is an important link in the prevention and control of varicella. Timely and accurate prediction not only helps to take early measures to prevent outbreaks and epidemics, but also can be used to evaluate the effect of public health measures...

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): G16H50/80G06Q10/04
CPCG16H50/80G06Q10/04
Inventor 陈娴娴阮晓雯徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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