Page 366 - Special Topic Session (STS) - Volume 4

STS1080 Karina G. et al.

Support system. Clustering, basic statistics, profiling analysis based on
inferencial tests, conditional distributions management, probabilized distance
based methods and statistical fitting are combined with ontology
management, prior expert knowledge, automatic interpretation and case
based reasoning to address the complexity of personalized diets
recommendations.
To the best of our knowledge the current Diet4You systems is the first
system integrating all these personalization items together in the
recommendation of menus according to nutritional prescriptions which, in
turn come from standard types of diets observed in population and tipified
through clustering techniques by the Nutritional Plan Generator component.
Currently the automatic generation of the Nutritional prescription according
to the results of NPG component is being addressed and specific metrics to
measure the nutritional quality of the recommendation regarding nutritional
prescription are being developed.

Acknowledgement
This work has been partially supported by project Diet4You (TIN2014-
60557-R), and the Consolidated Research Group Grant from AGAUR
(Generalitat de Catalunya, cataalan government) IDEAI-UPC (AGAUR
SGR2017-574).

References
1. The Automatic Meal Planner-Eat this much homepage,
http://www.eatthismuch.com, last accessed February 2019.
2. DRI Calculator for Healthcare Professionals homepage.
https://fnic.nal.usda.gov/fnic/dri-calculator/, February 2019.
3. S.A Bowman, J.C Clemens, et al. Food patterns equivalents database
2011-12: Methodology and user guide, 2014.
4. National Geographic. What the world eats. Accessed: May 14, 2018.
5. Gibert, Karina, Beatriz Sevilla-Villanueva, and Miquel Sànchez-Marrè. "The
role of significance tests in consistent interpretation of nested partitions."
Journal of computational and applied mathematics 292 (2016): 623-633.
6. B. Sevilla-Villanueva, K. Gibert, and M. Sànchez-Marrè. Generating
complete menus from nutritional prescriptions by using advanced cbr
and real food databases. In Recent advances in AI research and
development, v 300: 166–175. IOSPress, Jan 2017.
7. B. Sevilla-Villanueva, K. Gibert, M. Sànchez-Marrè. Intelligent
Management of measurement units equivalences in food databases. In
procs CAEPIA 2018. LNAI 11160: 1-11. Springer, Amsterdam. Oct 2018.
8. Sevilla-Villanueva, K. Gibert, Sànchez-Marrè. Including hard restrictions
into Diet4You Menu Planner. Artificial Intelli-gence Research and

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