“Identification of requirements for computer-supported matching of food consumption data with food composition data”

Korouiæ Seljak B., Koroec P., Eftimov T., Ocke M., van der Laan J., Roe M., Berry R., Crispim S. P., Turrini A., Krems C., Slimani N., Finglas P.. (2018)

Nutrients, 10, 4

This paper identifies the requirements for computer-supported food matching, in order to address national and European (international) current related needs, and represents an integrated research contribution of the FP7 EuroDISH project. The available classification and coding systems and the specific problems of food matching are summarized and a new concept for food matching based on optimization methods is proposed. To illustrate and test this concept, a study has been conducted in four European countries using different classification and coding systems. This real case study enabled us to evaluate the new food matching concept and provide further recommendations for future work. The evaluation of study results stressed the importance of the role and quality of the food composition database as compared to the selected classification and/or coding systems and the need to continue compiling national food composition data as eating habits and national dishes still vary between countries. Although some countries managed to collect extensive sets of food consumption data, these cannot be easily matched with food composition data if either food consumption or food composition data are not properly classified and described using any classification and coding systems. Both sets of data require continuous development to improve their quality in dietary assessment.

Nutrients, 10, 4

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