Diet4you
Intelligent personalised diet recommendation system based on an integrated assessment of personal characteristics, lifestyle, health and genetic profile.
- https://agrotech.upc.edu/en/projects-events/diet4you
- Diet4you
- 2015-01-01T12:00:00+01:00
- 2019-12-30T13:00:00+01:00
- Intelligent personalised diet recommendation system based on an integrated assessment of personal characteristics, lifestyle, health and genetic profile.
Jan 01, 2015 12:00 PM to Dec 30, 2019 01:00 PM (Europe/Madrid / UTC100)

Research group: IDEAI - KEMLG- Knowledge Engineering and Machine Learning Group
Project: Website: Diet4you
Website:
Target audience
Dietitians, nutritionists, educational centres and healthcare centres
Project objective
Design and implementation of an intelligent decision support system aimed at preparing adaptive and dynamic personalised diets based on all available information about an individual: biometrics and biochemical characteristics, health conditions, environmental factors (treatments, habits, diet, etc.) and genetic data, where available.
Project description
A healthy diet helps protect against the risk factors associated with a large number of chronic diseases. In the new approach to patient-centred medicine, prevention and nutrition have become key elements of a healthy lifestyle. Until now, nutritionists have designed diets tailored to each patient's specific needs based on their experience, but there are no well-formalised mechanisms to support this activity.
The Diet4You project proposes an intelligent decision support system designed to enable the adaptive and dynamic preparation of personalised diets for specific individuals in the general population, with or without comorbidities. Diet4You is a hybrid system that interacts with several AI and data science components in a complex way to create diets that take into account all available information about the individual, including their characteristics, health conditions, personal and cultural habits, potential medication intake and genomic information. The system is highly configurable, as it is based on an information system capable of formalising all contextual knowledge to improve optimisation. Menus are created from a food database containing prepared dishes with known nutritional breakdowns.
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