Page 359 - Special Topic Session (STS) - Volume 4

STS1080 Karina G. et al.

Diet4You: A personal intelligent assistant for
diets integrating data science
Karina Gibert 1,2,4 , Beatriz Sevilla-Villanueva 1,2,4 , Miquel Sànchez-Marrè 1,3,4
1 Knowledge Engineering and Machine Learning Group at Intelligent Data Science and
Artificial Intelligence Research Center (KEMLG-at-IDEAI)
2 Statistics and Operations Research Department
3 Computer Science department
4 Universitat Politècnica de Catalunya-BarcelonaTech, Barcelona (Catalonia)

Abstract
Prevention and nutrition are key issues to guarantee a healthy lifestyle and are
in the kernel of the new paradigm of patient-centered medicine. More and
more, making right diets is becoming essential from the health point of view.
However, nutritionists design diets on the specific needs of each patient, using
their accumulated experience and there are no well-formalized support
mechanisms for such activity.
The project Diet4You (financed by Spanish government) proposes the creation
of an intelligent decision support System oriented to the adaptive and
dynamic preparation of personalized diets for the specific individuals in
general population, having, or not, one or more diseases. The diets are built
by taking into account all the information available on the person, including
the characteristics of the person itself, their health conditions, their habits and
eventual drugs intake and their genòmic information. Authors are not aware
of other Systems considering all these factors together for the menus
recommendations. The Diet4You tool is a hybrid system interacting several
components in a complex way. The paper shows how a data science approach
helps to establish a reference set of prototypical dietary paterns as a starting
point to establish the behaviour of the complete Diet4you System. Also, a CBR
component, based on Knn with some especial distances helps to provide
adaptive behaviour to the System, which includes as well, some knowledge
based modules.

Keywords
Personalized Recommendation; Nutritional Plan Prescription; Case-based
reasoning; Knowledge management; Contextual information; Healthy
lifestyles; Personalized Medicine; Data science.

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