Food-borne disease outbreak identification method and system based on link prediction

Abstract

The invention relates to a food-borne disease outbreak identification method and system based on link prediction. The method comprises the following steps: performing data processing on food-borne disease outbreak event data; sampling the case data after data processing to obtain a positive and negative sample pair set; performing feature extraction on each positive and negative sample pair in the positive and negative sample pair set; inputting the positive and negative sample pairs after feature extraction into a link prediction model constructed based on a neural network to learn an association relationship between cases; constructing a case relationship network according to output of the link prediction model, wherein nodes in the network represent case entities, edges represent association relationships between cases, and edge weights reflect association strength between cases; and according to the case relationship network, adopting a community discovery algorithm to obtain a food-borne disease outbreak event. According to the method, a traditional clustering problem is converted into a problem of inter-case association relationship prediction and community discovery in a graph network, so that a better outbreak event recognition effect is achieved compared with traditional clustering algorithms.

Description

technical field [0001] The invention belongs to the field of information technology, and relates to a foodborne disease outbreak identification technology, in particular to a link prediction-based foodborne disease outbreak identification method and system. Background technique [0002] Foodborne diseases refer to infectious and toxic diseases caused by pathogenic factors in food entering the human body, including food poisoning, suspected foodborne abnormal diseases and foodborne infectious diseases. Foodborne illnesses threaten human health and cause economic losses worldwide every year. In 2015, the World Health Organization stated that foodborne diseases pose a significant global burden. About 600 million cases of foodborne illness occur worldwide each year, resulting in 420,000 deaths. Therefore, it is necessary to study the surveillance and prevention of foodborne diseases. The identification of foodborne disease outbreaks is an important part of foodborne disease m...

AI Technical Summary

Problems solved by technology

[0009] At present, my country's foodborne disease monitoring and reporting system obtains suspected foodborne disease outbreaks by manually defining screening conditions, and the suspected outbreaks obtained by manual screening have a problem of low accuracy.

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