IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases

Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases
View Sample PDF
Author(s): Lazaros Iliadis (Civil Engineering Department, School of Engineering, Democritus University of Thrace, Xanthi, Greece), Vardis-Dimitris Anezakis (Department of Forestry, School of Agriculture and Forest Sciences, Democritus University of Thrace, Orestiada, Greece), Konstantinos Demertzis (Civil Engineering Department, School of Engineering, Democritus University of Thrace, Xanthi, Greece)and Georgios Mallinis (Department of Forestry, School of Agriculture and Forest Sciences, Democritus University of Thrace, Orestiada, Greece)
Copyright: 2017
Volume: 9
Issue: 3
Pages: 23
Source title: International Journal of Information Systems for Crisis Response and Management (IJISCRAM)
Editor(s)-in-Chief: Víctor Amadeo Bañuls Silvera (Universidad Pablo de Olavide, Spain)and Murray E. Jennex (San Diego State University, USA)
DOI: 10.4018/IJISCRAM.2017070102

Purchase

View Hybrid Unsupervised Modeling of Air Pollution Impact to Cardiovascular and Respiratory Diseases on the publisher's website for pricing and purchasing information.

Abstract

During the last few decades, climate change has increased air pollutant concentrations with a direct and serious effect on population health in urban areas. This research introduces a hybrid computational intelligence approach, employing unsupervised machine learning (UML), in an effort to model the impact of extreme air pollutants on cardiovascular and respiratory diseases of citizens. The system is entitled Air Pollution Climate Change Cardiovascular and Respiratory (APCCCR) and it combines the fuzzy chi square test (FUCS) with the UML self organizing maps algorithm. A major innovation of the system is the determination of the direct impact of air pollution (or of the indirect impact of climate change) to the health of the people, in a comprehensive manner with the use of fuzzy linguistics. The system has been applied and tested thoroughly with spatiotemporal data for the Thessaloniki urban area for the period 2004-2013.

Related Content

Subhankar Dhar, Jerry Zeyu Gao. © 2023. 22 pages.
O'Neil G. Blake, Eric Russell. © 2023. 15 pages.
Mai Do, Jannette Diep, NhuNgoc K. Pham. © 2023. 14 pages.
Chayanee Wongsuriyanan, Shoji Tsuchida. © 2023. 14 pages.
Agnes Kalekye Kithikii, Edward Musungu Mugalavai, Samuel Soita China. © 2023. 19 pages.
Mahdi Nasereddin, Michael Bartolacci, Joanne C. Peca, Edward J. Glantz, Galen Grimes, Tyler Verlato. © 2023. 16 pages.
Byunggi Choi, Tony McAleavy, Alina Mizell. © 2022. 15 pages.
Body Bottom