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Lifestyle Recommendation System for Treating Malnutrition

  • Cristina Bianca Pop
  • Viorica R. Chifu
  • Ioan Salomie
  • Adela Stetco
  • Roxana Plaian
Part of the Studies in Computational Intelligence book series (SCI, volume 570)

Abstract

This paper presents a system for treating malnutrition by generating dietary recommendations according to the person’s health profile. The system consists of monitoring, analyzing and recommending components. The monitoring component collects information about a person’s nutrition habits. The analyzing component classifies the nutrition habits as having a risk of developing malnutrition or not. If an unhealthy nutrition habit is detected, the recommending component generates appropriate dietary recommendations using a Honey Bees Mating Optimization based algorithm.

Keywords

Collaborative Filter Nutrition Habit Conceptual Architecture Lifestyle Recommendation Malnutrition Risk 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Cristina Bianca Pop
    • 1
  • Viorica R. Chifu
    • 1
  • Ioan Salomie
    • 1
  • Adela Stetco
    • 1
  • Roxana Plaian
    • 1
  1. 1.Computer Science DepartmentTehnical University of Cluj-NapocaCluj-NapocaRomania

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