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Recognition of dengue disease patterns using artificial neural networks

Cetiner, Beytullah Gultekin and Sari, Murat and Aburas, Hani M. (2009) Recognition of dengue disease patterns using artificial neural networks. In: 5th International Advanced Technologies Symposium (IATS'09), 13-15 May, 2009, Karabuk, Turkey.

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Abstract

This research aimed at the recognition of the patterns for dengue disease patterns using Artificial Neural Networks (ANN’s). Real data was provided by Singaporean National Environment Agency (NEA), for academic purposes only. Obtained data was used to model the behavior of dengue cases based on the physical parameters of mean temperature, mean relative humidity and total rainfall. The set of data recorded weekly consists of dengue reported confirmed cases together with three aforementioned parameters and for a six-year period, January 2001 to April 2007.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5637/13260
Uncontrolled Keywords: disease pattern recognition, artificial neural networks
Subjects: Q Science > QR Microbiology
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Manufacturing and Materials Engineering
Depositing User: Mrs. Wan Salwati Wan Salleh
Date Deposited: 27 Dec 2011 12:07
Last Modified: 27 Dec 2011 12:07
URI: http://irep.iium.edu.my/id/eprint/13260

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