What is it about?
The value of using a Bayesian Network (BN) modelling approach to model holistic system taking into account the influence of multiple “drivers” on food safety is demonstrated in this paper using food fraud as an example. Possible links between food fraud cases retrieved from the RASFF (EU) and EMA (USA) databases and features of these cases provided by both the records themselves and additional data obtained from other sources are demonstrated.
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Why is it important?
The model had a predictive accuracy of 91.5% for the fraud type and demonstrates how expert knowledge and data can be combined within a model to assist risk managers to better understand the factors and their interrelationships.
Read the Original
This page is a summary of: A holistic approach to food safety risks: Food fraud as an example, Food Research International, November 2016, Elsevier,
DOI: 10.1016/j.foodres.2016.08.028.
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