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Analytical prediction module of disease incidence affected by environmental change

A technology for predicting models and environmental changes, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as lack of qualitative and quantitative analysis

Active Publication Date: 2015-07-29
上海卫生信息工程技术研究中心有限公司 +1
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Problems solved by technology

All think it has an impact, but which diseases have an impact and to what extent? Lack of qualitative and quantitative analysis

Method used

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  • Analytical prediction module of disease incidence affected by environmental change
  • Analytical prediction module of disease incidence affected by environmental change
  • Analytical prediction module of disease incidence affected by environmental change

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Embodiment Construction

[0057] In order to make the present invention more comprehensible, preferred embodiments are described below in detail with accompanying drawings.

[0058] The present invention utilizes the outpatient data of Shanghai's top three hospitals in the past two years, and analyzes the correlation between outpatient volume data and meteorological changes and environmental pollution data, and constructs the degree of impact of environmental changes on disease incidence based on a non-parametric Poisson regression model Based on this quantitative analysis model, a predictive model based on the impact of environmental changes on the support vector regression machine on the number of outpatients is constructed to predict the number of patients per week in each department of the hospital. Allow patients to avoid the adverse weather conditions and environmental pollution factors that cause illness in advance, and arrange daily activities reasonably; the hospital can rationally allocate the me...

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Abstract

The invention discloses an analytical prediction module of disease incidence affected by environmental change. An association condition between outpatient capacity data and meteorology change and environmental pollution data is analyzed, a quantitative analysis module is built based on the incidence of the disease incidence caused by the environment change of a non-parameter Poisson regression model, and a prediction module which affects the outpatient capacity based on support vector regression is built based on the quantitative analysis module, and the weekly outpatient capacity of each department of a hospital is predicted. Therefore, a patient can avoid the influence on bad weather conditions and environmental pollution factors in advance and arrange the daily activities reasonably; furthermore, a hospital can reasonably configure the medical resources and manpower of all departments aiming at top diseases; furthermore, the emergency preparation can be done by public hygiene departments in advance, and the special crowds can be intervened in advance, therefore the morbidity can be reduced and the human living quality can be improved.

Description

Technical field [0001] The invention relates to a quantitative analysis model based on the degree of influence of environmental changes on disease incidence based on a non-parametric Poisson regression model, and on this basis, a method for predicting the impact of environmental changes on outpatient visits based on a support vector regression machine is constructed. Background technique [0002] Human health is closely related to external environmental factors, among which changes in meteorological conditions and environmental pollution are particularly related to the occurrence of human diseases. The impact of meteorological changes and environmental pollution on health has become the focus of general attention. At present, most people are still in perceptual understanding of the impact of meteorological changes and environmental pollution on disease incidence. All think it has an impact, but which diseases are affected and to what extent? Lack of qualitative and quantitative...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 杨冬艳马成龙张敬谊于广军李光亚陈诚
Owner 上海卫生信息工程技术研究中心有限公司
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