Food-borne disease pathogenic factor prediction method and system based on big data

Abstract

The invention discloses a food-borne disease pathogenic factor prediction method based on big data, and the method comprises the following steps: S1, building a food-borne disease sample analysis database through the collection and arrangement of food-borne disease accident cases, recording the feature items contained in each sample, determining a training set and a test set, performing attributeselection and neuron definition, preprocessing missing data, and constructing a food-borne disease pathogenic factor deep BP neural network prediction model with relatively high accuracy. The method has the advantages that expert prediction data and deep BP neural network prediction are combined, the obtained prediction result is more accurate, acquisition and updating of prediction data are facilitated, dynamic prediction of food-borne diseases is achieved, the disease development trend is better predicted, a prediction scheme and measure adjustment are made, prevention, control and treatmentof diseases are facilitated, and the method is suitable for popularization and application. Based on big data, the prediction system is more perfect, and the timeliness and accuracy of disease prediction are improved.

Description

Technical field: [0001] The invention belongs to the technical field of pathogenic factor prediction, in particular to a method and system for predicting foodborne disease pathogenic factor based on big data. Background technique: [0002] Foodborne diseases refer to diseases caused by pathogenic factors such as toxic and harmful substances (including biological pathogens) that enter the human body through ingestion. Generally can be divided into infectious and poisoning, including common food poisoning, intestinal infectious diseases, zoonotic infectious diseases, parasitic diseases and diseases caused by chemical toxic and harmful substances. The incidence of food-borne diseases ranks at the forefront of the total incidence of various diseases, and is the most prominent health problem in the world at present. The pathogenic factor refers to the organisms that may be encountered in the contact with the outside world that may cause the organism to appear sick. all factors. ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a method and system for predicting foodborne disease pathogenic factors based on big data in order to solve the above problems, which solves the problem of single prediction mode of foodborne disease pathogenic factors and incomplete and difficult data collection. , resulting in poor implementability of the disease prediction method, imperfect prediction system, and the shortcomings of affecting the timeliness and accuracy of disease prediction

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