Epidemic disease forecasting method, system and equipment

A prediction method and epidemiological technology, applied in the fields of epidemic warning system, medical informatics, informatics, etc., can solve the problems of no technical solution and low prediction accuracy, and achieve better prediction performance, high prediction accuracy and practical effect. strong effect

Inactive Publication Date: 2018-08-17
SOUTHEAST UNIV +1
View PDF4 Cites 19 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing systems for predicting epidemics based on Internet data have the problem of low prediction accuracy
Aiming at the above problems, no effective technical solutions have been proposed yet.

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
  • Epidemic disease forecasting method, system and equipment
  • Epidemic disease forecasting method, system and equipment
  • Epidemic disease forecasting method, system and equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0039] The embodiment of the present invention provides a kind of epidemic prediction method, see figure 1 A schematic flow chart of the shown epidemic prediction method, the method includes the following steps:

[0040] Step S102, acquiring epidemic-related data. Among them, relevant data include Internet data, weather data, and biological information data collected by smart terminals. This internet data includes search data and social networking data. The search data includes search volume data of search engines, including but not limited to Baidu, Google, etc.; the social network data includes but not limited to Weibo, WeChat, etc.

[0041] When collecting relevant data on the Internet, the keywords used mainly include keywords related to diseases and keywords related to disease symptoms. Taking influenza as an example, keywords may include: influenza, cold, influenza, high fever, muscle and joint pain, fatigue, etc. When collecting Internet data, existing data collecti...

Embodiment 2

[0088] The embodiment of the present invention provides an epidemic prediction system, see Figure 7 Schematic diagram of the structure of the epidemic prediction system shown, including:

[0089] The data acquisition module 71 is used to acquire epidemic-related data; relevant data includes: Internet data, weather data, and biological information data collected by smart terminals; Internet data includes search data and social network data;

[0090] Data cleaning module 72, used for data cleaning of relevant data;

[0091] Predictive model building module 73, used for establishing a combined predictive model according to relevant data after data cleaning;

[0092] The prediction module 74 is configured to perform prediction according to the combined prediction model, and output the prediction result.

[0093] The above-mentioned data cleaning module 72 is also used for: semantically classifying the social network data to clean the social network data; obtaining the search hi...

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 an epidemic disease forecasting method, system and equipment, and relates to the technical field of epidemic disease forecasting. The method comprises the steps that the epidemic disease relevant data are acquired, wherein the relevant data include the internet data, the weather data and the biological information data acquired by the intelligent terminal, and the internet data include the search data and the social network data; the data cleaning is performed on the relevant data; an integrated forecasting model is established according to the relevant data after data cleaning; and forecasting is performed according to the integrated forecasting model and the forecasting result is outputted. According to the epidemic disease forecasting method, system and equipment,the data sources are wider, the forecasting effect is better, the forecasting accuracy is higher, the cost is lower and the effectiveness is higher and the possible epidemic disease outbreak can be forecasted earlier.

Description

technical field [0001] The present invention relates to the technical field of epidemic prediction, in particular to an epidemic prediction method, system and equipment. Background technique [0002] Infectious diseases have always been a major threat to human health and life safety. For infectious disease emergencies, only early detection and timely warning can buy time for the implementation of various countermeasures, control the incident in the bud, and minimize the degree of harm of the incident. The most widely used epidemic prediction and early warning system is based on the case data reported by hospitals. For example, the National Notifiable Infectious Disease Network Direct Reporting System (NIDRIS) established in 2004 has a high cost and requires a lot of manpower and material resources. And the timeliness is not high, it is difficult to achieve early warning of disease outbreaks. [0003] In addition to the above-mentioned early warning systems, there are also ...

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): G16H50/80
CPCG16H50/80
Inventor 王桥唐家博刘文东陆建丁嘉沼鲍倡俊胡建利霍翔
Owner SOUTHEAST UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products