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

Kostas Karatzas (), Vassiliki Dourliou, Nikolaos Kakaletsis, Nikolaos Katsifarakis, Christos Savopoulos and Apostolos I. Hatzitolios
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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

A chapter in Advances and New Trends in Environmental Informatics, 2017, pp 253-262 from Springer

Abstract: 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.

Keywords: Computational intelligence; Air pollution; Diabetes mellitus (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-44711-7_20

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DOI: 10.1007/978-3-319-44711-7_20

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