Page 360 - Special Topic Session (STS) - Volume 4
P. 360

STS1080 Karina G. et al.

                  1.  Introduction
                      Prevention and nutrition are key issues to guarantee a healthy lifestyle and
                  are in the kernel of the new paradigm of patient-centered medicine. A healthy
                  diet protects against a large number of chronic diseases, but also contributes
                  to delay the disease appearance in the general population. 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. One of those components is a subsystem able
                  to identify dietary patterns of the persons by using multiview clustering for
                  heterogeneous variables, connected with some automatic class interpretation
                  tools that provides a clear description of the patterns to nutritionists, who
                  doesn’t necessarily have technical skills. 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 som especial distances helps to
                  provide  adaptive  behaviour  to  the  System,  which  includes  as  well,  some
                  knowledge based modules.

                  2.  Methodology and structure of the system
                      2.1 Structure of the system
                      The Diet4You system is composed of two main blocks (see Figure 1):
                      1.  A Nutritional Plan Generator (NPG). This part of the system is designed
                         to  return  a  nutritional  plan  given  personal  specifications.  The  NPG
                         receives the following pieces of information as input:
                      •  Dietary profiles that can be prescribed to certain types of persons with
                         certain genetic characteristics and lifestyle habits, and the pattern of
                         expected diet effects in those scenarios.
                      •  Expert  knowledge  including  Daily  Reference  Intakes  (DRIs)  of
                         micronutrients and trace elements; the Recommended Daily Allowance
                         (RDA)  of  macronutrients;  and  nutritional  and  institutional
                         recommendations, such as those provided by the OMS.


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