eprintid: 1245
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/12/45
datestamp: 2023-11-09 15:49:24
lastmod: 2023-11-09 15:49:24
status_changed: 2023-11-09 15:39:18
type: conference_item
metadata_visibility: show
creators_name: Permanasari, A.E.
creators_name: Awang Rambli, D.R.
creators_name: Dominic, P.D.D.
title: Decision support conceptual framework for zoonosis emerging system
ispublished: pub
keywords: Artificial Neural Network; Artificial Neural Network (ANN); Conceptual frameworks; Decision supports; Human health; Infectious disease; Model-based; Quantitative approach; Similar pattern; Zoonotic disease, Animals; Computer applications; Decision support systems; Health risks; Pattern recognition systems, Neural networks
note: cited By 0; Conference of 2nd International Conference on Computer Engineering and Applications, ICCEA 2010 ; Conference Date: 19 March 2010 Through 21 March 2010; Conference Code:80409
abstract: Emerging zoonosis represents an increasing threat to animal and human health. Zoonosis is any infectious disease that is able to be transmitted from other animals, both wild and domestic, to humans. The increasing number of zoonotic diseases coupled with the frequency of occurrences, especially lately, has made the need to study and understand theses diseases a major concern among researchers from various disciplines. It is important to have a single system that is able to analyze the relationship between different diseases in emergence zoonosis. However, the development of such system presents a daunting and yet to be explored task. Many factors have been attributed but inadequate information has been identified as a major challenge. In this paper, a review on zoonosis aspects and previous research on zoonosis are presented. Based on this review, a framework for developing an emerging zoonosis system is proposed. Therefore, the initial findings of framework were also presented. The system is considered as a zoonosis risk-emergence based on similar pattern recognition of zoonosis domain across different zoonotic diseases. Potential challenges in developing an emerging zoonosis model based on quantitative approach to unify zoonosis knowledge from different diseases into a single system were highlighted. © 2010 IEEE.
date: 2010
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952758564&doi=10.1109%2fICCEA.2010.240&partnerID=40&md5=a594160535345461764da1eb2bdab7c7
id_number: 10.1109/ICCEA.2010.240
full_text_status: none
publication: 2010 2nd International Conference on Computer Engineering and Applications, ICCEA 2010
volume: 2
pagerange: 469-473
refereed: TRUE
isbn: 9780769539829
citation:   Permanasari, A.E. and Awang Rambli, D.R. and Dominic, P.D.D.  (2010) Decision support conceptual framework for zoonosis emerging system.  In: UNSPECIFIED.