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Advances and New Trends in Environmental Informatics pp 253–262Cite as

A Computational Intelligence Approach to Diabetes Mellitus and Air Quality Levels in Thessaloniki, Greece

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Part of the book series: Progress in IS ((PROIS))

Abstract

We employ Computational Intelligence (CI) methods to investigate possible associations between air pollution and Diabetes Mellitus (DM) in Thessaloniki, Greece. Models are developed for describing key DM parameters and for identifying environmental influences to patient status. On this basis new, more accurate models for the estimation of renal function levels are presented while a possible linkage is indicated concerning disease parameters and the quality of the atmospheric environment.

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Notes

  1. 1.

    1st case (low levels of kidney malfunction): corresponds to stage 1 and stage 2 (GFR >= 60) 2nd case (high levels of kidney malfunction): corresponds to stages 3, 4 and 5 (GFR < 60).

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Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Informatics Systems and Applications – Environmental Informatics Research Group, Aristotle University, 54124, Thessaloniki, Greece

    Kostas Karatzas & Nikolaos Katsifarakis

  2. First Propaedeutic Department of Internal Medicine, Aristotle University, AHEPA Hospital, 54636, Thessaloniki, Greece

    Vassiliki Dourliou, Nikolaos Kakaletsis, Christos Savopoulos & Apostolos I. Hatzitolios

Authors
  1. Kostas Karatzas
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  2. Vassiliki Dourliou
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  3. Nikolaos Kakaletsis
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  4. Nikolaos Katsifarakis
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  5. Christos Savopoulos
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  6. Apostolos I. Hatzitolios
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Corresponding author

Correspondence to Kostas Karatzas .

Editor information

Editors and Affiliations

  1. HTW Berlin, University of Applied Sciences, Berlin, Germany

    Volker Wohlgemuth

  2. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Frank Fuchs-Kittowski

  3. HTW Berlin, University of Applied Sciences , Berlin, Germany

    Jochen Wittmann

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Karatzas, K., Dourliou, V., Kakaletsis, N., Katsifarakis, N., Savopoulos, C., Hatzitolios, A.I. (2017). A Computational Intelligence Approach to Diabetes Mellitus and Air Quality Levels in Thessaloniki, Greece. In: Wohlgemuth, V., Fuchs-Kittowski, F., Wittmann, J. (eds) Advances and New Trends in Environmental Informatics. Progress in IS. Springer, Cham. https://doi.org/10.1007/978-3-319-44711-7_20

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