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Infectious disease epidemic situation predicting and monitoring system and method based on keyword search time sequence and application thereof

A technology of keyword search and time series, which is applied in the fields of epidemic warning system, special data processing application, digital data information retrieval, etc., and can solve the problem of lagging data acquisition of infectious diseases

Pending Publication Date: 2021-08-31
TIANJIN UNIV OF TECH & EDUCATION TEACHER DEV CENT OF CHINA VOCATIONAL TRAINING & GUIDANCE
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide an infectious disease epidemic prediction and monitoring system based on keyword search time series for the problem of lagging data acquisition of infectious disease epidemics in the prior art

Method used

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  • Infectious disease epidemic situation predicting and monitoring system and method based on keyword search time sequence and application thereof
  • Infectious disease epidemic situation predicting and monitoring system and method based on keyword search time sequence and application thereof

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0045] One kind of infectious disease epidemic forecasting and monitoring systems search keywords based on time series, including the search keyword filter modules, search modules and a network request heat index prediction machine learning module, wherein:

[0046] The screening module for generating a search keyword associated with infectious diseases relevant keywords;

[0047] The heat index search request module configured to obtain a network of related keywords corresponding to a search by a search engine interface heat;

[0048] The machine learning prediction module training regression model based on historical data and forecast based on the new data.

[0049] The machine learning prediction module deployed in the cloud. Use python flask framework for the deployment of back-end server, set up http service. Ali cloud system can use the cloud. Server open a port such as 8080, the processing request transmitted over the Internet. Internet http protocol requests by completion,...

Embodiment 2

[0051] New crown pneumonia, for example, to predict monitoring method to predict outbreaks of infectious diseases and monitoring system based on time series keyword search, described in detail.

[0052] The prediction method includes monitoring a machine learning and training phase prediction module prediction module predicts machine learning phase, wherein: the machine learning prediction module training phase comprising the steps of:

[0053] The search keyword and select a number of keywords screening module onset of the symptoms associated with pneumonia novel compositions keyword table, comprising

[0054]Step 1, in the search keyword screening module, select keywords associated with the symptoms of infectious diseases as related keywords, related key words include "fever", "fever", "fat", "cough", " Body temperature ", etc..

[0055] Step 2, in the search heat index network request module, input the related keywords in step 1, acquire the relevant keyword in the experimental...

Embodiment 3

[0070] The method of Example 2 also applies to other infectious diseases, such as flu, etc., search keywords can be replaced with runny, fever, etc. Other processes are consistent.

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Abstract

The invention discloses an infectious disease epidemic situation predicting and monitoring system and a method based on a keyword search time series and application of the infectious disease epidemic situation predicting and monitoring system and the method. In the infectious disease epidemic situation predicting and monitoring system and the method, the search popularity of related search keywords in a search engine is used as a feature to train a lasso regression model; the epidemic situation of related infectious diseases such as novel pneumonia in various regions can be effectively predicted in real time, the problem of related index output lag is solved, the related epidemic situation can be known in advance, and an effective decision can be made.

Description

Technical field [0001] The present invention relates to disease prediction techniques, and more particularly relates to infectious disease prediction and monitoring systems, based on time series of search keywords, the method and its application. Background technique [0002] Proliferation of infectious diseases is determined by hundreds of thousands of communicators, and public data with a certain lag: a patient has obvious symptoms to pass before going to the hospital for treatment, from diagnosis to treatment it will take some time, and secondly, data were collected after diagnosis takes time to open, in addition, individual institutions may also exist concealed problems resulting epidemic of lag treatment, affect the effective and timely estimates of the scale of the epidemic control. Inventive content [0003] Object of the present invention is to obtain data lag problems for infectious diseases in the prior art, and to provide a monitoring system and infectious disease pre...

Claims

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Application Information

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IPC IPC(8): G16H50/80G06F16/9535G06N20/00
CPCG16H50/80G06F16/9535G06N20/00
Inventor 秦迎梅门聪
Owner TIANJIN UNIV OF TECH & EDUCATION TEACHER DEV CENT OF CHINA VOCATIONAL TRAINING & GUIDANCE
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