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Lifestyle Recommendation System for Treating Malnutrition

  • Conference paper
Intelligent Distributed Computing VIII

Part of the book series: Studies in Computational Intelligence ((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.

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References

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Author information

Authors and Affiliations

  1. Computer Science Department, Tehnical University of Cluj-Napoca, Baritiu 26-28, Cluj-Napoca, Romania

    Cristina Bianca Pop, Viorica R. Chifu, Ioan Salomie, Adela Stetco & Roxana Plaian

Authors
  1. Cristina Bianca Pop
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  2. Viorica R. Chifu
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  3. Ioan Salomie
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  4. Adela Stetco
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  5. Roxana Plaian
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Corresponding author

Correspondence to Cristina Bianca Pop .

Editor information

Editors and Affiliations

  1. Computer Science Department, Technical School of Engineering, Universidad Autónoma de Madrid, Madrid, Spain

    David Camacho

  2. University of Hamburg, Hamburg, Germany

    Lars Braubach

  3. Department of Industrial and Information Engineering, Second University of Naples, Aversa, Italy

    Salvatore Venticinque

  4. Software Engineering Department, Faculty of Automatics, Computers and Ele, University of Craiova, Craiova, Romania

    Costin Badica

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© 2015 Springer International Publishing Switzerland

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Pop, C.B., Chifu, V.R., Salomie, I., Stetco, A., Plaian, R. (2015). Lifestyle Recommendation System for Treating Malnutrition. In: Camacho, D., Braubach, L., Venticinque, S., Badica, C. (eds) Intelligent Distributed Computing VIII. Studies in Computational Intelligence, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-10422-5_6

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  • DOI: https://doi.org/10.1007/978-3-319-10422-5_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10421-8

  • Online ISBN: 978-3-319-10422-5

  • eBook Packages: EngineeringEngineering (R0)

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