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Empirical model
Empirical models describe a set of data in a convenient mathematical relationship without considering any underlying phenomena (Ross and Dalgaard 2004). Examples of empirical...-
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Model generation process
Process aiming at generating a description of a system through mathematical concepts or software code.-
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Validated-fitted model
Model that has been fitted and successfully validated on independent experimental/observational data (evaluation data). A validated-fitted model can be used to make predictions...-
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FSK-ML (Food Safety Knowledge - Markup Language)
FSK-ML is a specification for knowledge exchange format that can be used to encode models in the domain of food safety risk assessment.-
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Parameter
The term parameter is used in a number of ways. In the context of RAKIP project, examples of parameter are: the prevalence and concentration of foodborne pathogens on food...-
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Modelling process
Processes that involve the model generation process and include the application of the generated model.-
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Validation procedure
Procedure that aims to assess the performance of fitted models and to determine if they can be used to aid decision-making. The validation process might use several hundred of...-
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Model class
Classification of mathematical models relevant for microbial food safety such as QMRA model, dose-response model, process model, consumption model, exposure model, health metric...-
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Model structure
Describes the conceptual design, components and structure of a model. For instance, the QMRA model structure usually follows the well-stabilised four steps: hazard...-
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FSKX-file
File format defined within the FSK-ML specifications supporting the exchange of risk assessment models.-
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Biological hazard
The microorganisms and/or their toxins present in, or condition of, food with the potential to cause an adverse health effect (adapted from Hazard definition from FAO/WHO, 2016).-
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Exposure model
A combination of the process model and the consumption model that results in the exposure assessment.-
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Population group
Is the population or sub-population of interest when performing a risk assessment, for example: general population, pregnant or lactating women, seniors, infants.-
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Data collection
The process of gathering data. Different types of data can be collected (microbial concentrations, daily consumption, etc.). The collected data should be fit for purpose,...-
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Health metric model
Model for calculating a measure for assessing the health impact of a specific hazard in a population group: e.g. Disability-adjusted life years (DALYs) or cost per illness.-
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Visualization
A process by a chart or other image is created as a visual representation of the transformed data.-
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Risk characterization
The qualitative and/or quantitative estimation, including attendant uncertainties, of the probability of occurrence and severity of known or potential adverse health effects in...-
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Transformation
A process by which the data is manipulated (i.e. data set is cleaned or rearranged) to fit the purpose of the model.-
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