Design, development and validation of software for modelling dietary exposure to food chemicals and nutrients.
The Monte Carlo computational system for stochastic modelling of dietary exposure to food chemicals and nutrients is presented. This system was developed through a European Commission-funded research project. It is accessible as a Web-based application service. The system allows and supports very significant complexity in the data sets used as the model input, but provides a simple, general purpose, linear kernel for model evaluation. Specific features of the system include the ability to enter (arbitrarily) complex mathematical or probabilistic expressions at each and every input data field, automatic bootstrapping on subjects and on subject food intake diaries, and custom kernels to apply brand information such as market share and loyalty to the calculation of food and chemical intake.
McNamara
C
C
Trinity Center for High Performance Computing, O'Reilly Institute, Trinity College, Dublin, Ireland. cronan.mcnamara@tchpc.tcd.ie
Naddy
B
B
Rohan
D
D
Sexton
J
J
D004032:Diet / Q000706:statistics & numerical data*; D004435:Eating; D005503:Food Additives / Q000008:administration & dosage*; D005506:Food Contamination / Q000032:analysis; D006801:Humans; D007391:International Cooperation; D009010:Monte Carlo Method; D010573:Pesticide Residues / Q000032:analysis; D015203:Reproducibility of Results; D012985:Software Design; D012986:Software Validation
D005503:Food Additives; D010573:Pesticide Residues