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Identification of Models for Glucose Blood Values in Diabetics by Grammatical Evolution

  • J. Ignacio HidalgoEmail author
  • J. Manuel Colmenar
  • J. Manuel Velasco
  • Gabriel Kronberger
  • Stephan M. Winkler
  • Oscar Garnica
  • Juan Lanchares
Chapter

Abstract

One the most relevant application areas of artificial intelligence and machine learning in general is medical research. We here focus on research dedicated to diabetes, a disease that affects a high percentage of the population worldwide and that is an increasing threat due to the advance of the sedentary life in the big cities. Most recent studies estimate that it affects about more than 410 million people in the world. In this chapter we discuss a set of techniques based on GE to obtain mathematical models of the evolution of blood glucose along the time. These models help diabetic patients to improve the control of blood sugar levels and thus, improve their quality of life. We summarize some recent works on data preprocessing and design of grammars that have proven to be valuable in the identification of prediction models for type 1 diabetics. Furthermore, we explain the data augmentation method which is used to sample new data sets.

Notes

Acknowledgements

This work was partially supported by the Spanish Government Minister of Science and Innovation under grants TIN2014-54806-R and TIN2015-65460-C2. J. I. Hidalgo also acknowledges the support of the Spanish Ministry of Education mobility grant PRX16/00216. S. M. Winkler and G. Kronberger acknowledge the support of the Austrian Research Promotion Agency (FFG) under grant #843532 (COMET Project Heuristic Optimization in Production and Logistics). The authors would like to thank the help of the medical staff: Marta Botella, Esther Maqueda, Aranzazu Aramendi-Zurimendi and Remedios Martínez-Rodríguez.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • J. Ignacio Hidalgo
    • 1
    Email author
  • J. Manuel Colmenar
    • 2
  • J. Manuel Velasco
    • 1
  • Gabriel Kronberger
    • 3
  • Stephan M. Winkler
    • 3
  • Oscar Garnica
    • 1
  • Juan Lanchares
    • 1
  1. 1.Adaptive and Bioinspired System GroupUniversidad Complutense de MadridMadridSpain
  2. 2.Universidad Rey Juan CarlosMóstolesSpain
  3. 3.University of Applied Sciences Upper AustriaHeuristic and Evolutionary Algorithms LaboratoryHagenbergAustria

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