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

In: Advances and New Trends in Environmental Informatics

Author

Listed:
  • Kostas Karatzas

    (Aristotle University)

  • Vassiliki Dourliou

    (Aristotle University, AHEPA Hospital)

  • Nikolaos Kakaletsis

    (Aristotle University, AHEPA Hospital)

  • Nikolaos Katsifarakis

    (Aristotle University)

  • Christos Savopoulos

    (Aristotle University, AHEPA Hospital)

  • Apostolos I. Hatzitolios

    (Aristotle University, AHEPA Hospital)

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.

Suggested Citation

  • Kostas Karatzas & Vassiliki Dourliou & Nikolaos Kakaletsis & Nikolaos Katsifarakis & Christos Savopoulos & Apostolos I. Hatzitolios, 2017. "A Computational Intelligence Approach to Diabetes Mellitus and Air Quality Levels in Thessaloniki, Greece," Progress in IS, in: Volker Wohlgemuth & Frank Fuchs-Kittowski & Jochen Wittmann (ed.), Advances and New Trends in Environmental Informatics, pages 253-262, Springer.
    • Handle: RePEc:spr:prochp:978-3-319-44711-7_20
    DOI: 10.1007/978-3-319-44711-7_20
    as

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