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Big data prediction method and system based on macroscopic factor

A prediction method and prediction system technology, applied in the field of risk assessment, can solve the problems of difficult identification of influenza virus, inability to predict and early warning of influenza, etc., and achieve the effect of improving influenza prediction ability.

Inactive Publication Date: 2018-04-03
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0005] In view of this, the purpose of the present invention is to provide a large data prediction method and system based on macro factors to solve the problems of inability to predict and warn influenza in advance and identify difficulties in influenza virus

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  • Big data prediction method and system based on macroscopic factor

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no. 1 example

[0034] Such as figure 1 As shown, the first embodiment of the present invention proposes a big data prediction method based on macro factors, the method includes the following steps:

[0035] S100, setting a range for collecting basic data.

[0036] Specifically, the scope includes time, region and so on. For example, the region is region A, and the period is three consecutive years from August 2012 to August 2015.

[0037] S102. Collect basic data related to influenza according to the set scope.

[0038] Specifically, the basic data includes independent variable characteristic data and dependent variable characteristic data. Wherein, the characteristic data of the dependent variable is the number of confirmed influenza cases in hospitals every day, that is, the number of cases coded as J10\J11 in the International Classification of Diseases (ICD) and clearly marked with "influenza" or "influenza". The independent variable feature data includes regional macro medical behav...

no. 2 example

[0054] Such as figure 2 As shown, the third embodiment of the present invention proposes a big data prediction system 20 .

[0055] In this embodiment, the big data prediction system 20 includes a setting module 200 , a collection module 202 , a building module 204 , an evaluation module 206 and an integration module 208 .

[0056] The setting module 200 is used to set the scope of collecting basic data.

[0057] Specifically, the range includes time, region, characteristic variables, and the like. For example, the region is region A, and the period is three consecutive years from August 2012 to August 2015.

[0058] The collection module 202 is configured to collect basic data related to influenza according to the set scope.

[0059] Specifically, the basic data includes independent variable characteristic data and dependent variable characteristic data. Wherein, the characteristic data of the dependent variable is the number of confirmed influenza cases in the hospital ...

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Abstract

The invention discloses a big data prediction method and a system based on a macroscopic factor. The method comprises the following steps of setting a range of collecting basic data; according to a set range, collecting the basic data related to influenza; according to the collected basic data, using a time sequence prediction method and a polynomial regression method to establish a plurality of prediction models; according to the plurality of established prediction models, acquiring corresponding influenza prediction results respectively; and integrating the influenza prediction results of the plurality of prediction models so as to acquire a final prediction result. Therefore, based on information that is relatively easy to acquire, the models are established and the influenza can be predicted.

Description

technical field [0001] The invention relates to the technical field of risk assessment, in particular to a big data prediction method and system based on macro factors. Background technique [0002] Influenza is called flu for short, is an acute respiratory infection caused by influenza virus, and is also a highly contagious, fast-spreading disease. It is mainly spread through droplets in the air, person-to-person contact or contact with contaminated items. Typical clinical symptoms are: sudden onset of high fever, general pain, significant fatigue and mild respiratory symptoms. Generally, autumn and winter are the high-incidence periods, mainly affecting the nose, throat, and bronchi, and occasionally affecting the lungs. [0003] Influenza is mostly mild and the infected person recovers within one to two weeks without medical treatment. In some cases, severe symptoms may even result in death. In the 20th century, there were 5-6 large outbreaks of influenza epidemics, t...

Claims

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Application Information

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IPC IPC(8): G16H50/80
Inventor 孙继超徐亮
Owner PING AN TECH (SHENZHEN) CO LTD
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