Environmental health risk monitoring and warning system and method based on spatial Bayesian network

A Bayesian network and risk monitoring technology, applied in the field of environmental health risk monitoring and early warning system, can solve the problems of difficult to establish spatial reasoning, low efficiency, low accuracy of disease health risk identification function, etc., to strengthen spatial reasoning function, improve Accuracy and the effect of improving model prediction ability

Inactive Publication Date: 2018-03-06
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

[0003] The technical problem of the present invention is to overcome the deficiencies of the prior art, provide an environmental health risk monitoring and early warning system and method based on the spatial Bayesian network, overcome the difficulty that the traditional Bayesian network is not easy to establish spatial reasoning, and achieve improved

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  • Environmental health risk monitoring and warning system and method based on spatial Bayesian network
  • Environmental health risk monitoring and warning system and method based on spatial Bayesian network
  • Environmental health risk monitoring and warning system and method based on spatial Bayesian network

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments.

[0039] Such as figure 1 As shown, the present invention is a risk monitoring and early warning system based on spatial Bayesian network, including: domain knowledge determination variable and variable domain module, data discretization module, spatial bureau aggregation identification module, spatial autocorrelation identification module, network structure Building module, network structure fine-tuning and parameter estimation module, spatial reasoning building module, disease risk probability prediction value module and early warning application module.

[0040] Such as figure 2 As shown, domain knowledge determines variables and the specific implementation process of variable domain modules is as follows:

[0041] (1) The weekly morbidity data of districts and counties obtained from the Chinese Center for Disease Control and Prevention, and the t...

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Abstract

The invention provides an environmental health risk monitoring and warning system and method based on a spatial Bayesian network. Spatial correlation and spatial aggregation factors are added on the basis of the traditional Bayesian network, optimized machine learning is closely combined with domain knowledge, and therefore, a network model with a more reasonable structure is generated. A spatialcorrelation/aggregation inference link is added on the basis of existing factors, and thus, the ability of Bayesian network environmental health risk monitoring and warning is enhanced. The hand-foot-mouth disease is affected by many environmental factors, which is taken as an example in the invention to explain the principle of the spatial Bayesian network and the advantage of the spatial Bayesian network in environmental health risk assessment and warning. The system and the method of the invention can be applied to the risk monitoring and warning of various diseases or health problems closely related to environmental health.

Description

technical field [0001] The invention relates to an environmental health risk monitoring and early warning system and method based on a spatial Bayesian network, and belongs to the technical field of environmental health risk monitoring and early warning. Background technique [0002] Bayesian network is a model of probability reasoning of discrete variables, which reveals the relationship between elements in the form of directed acyclic graph and joint probability distribution table between variables; compared with other methods, Bayesian network can Fusion domain knowledge and data learning for modeling, the network can integrate a variety of different types of explanatory variables to establish complex probability correlations for reasoning, and can handle missing data at the same time. The Bayesian network risk modeling method is widely used in the analysis of natural disasters and environmental health risks, and has achieved good evaluation results. However, for geospat...

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Application Information

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IPC IPC(8): G16H50/30G06K9/62G06N7/00
CPCG06N7/01G06F18/29
Inventor 李连发方颖王劲峰
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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