Cover Image

A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever

Many infectious diseases such as dengue, malaria, typhoid and hepatitis produce characteristic variations in the composition of blood [1]. These variations can be a characteristic change in number, size or shape of certain blood cells. For example, in anemia, the red blood cell (RBC) count is...

Full description

Saved in:
Bibliographic Details
Main Authors: Abdul Rahim, Herlina, Ibrahim, Fatimah, Taib, Mohd. Nasir
Format: Book Section
Language:English
Published: Penerbit UTM 2008
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/16254/1/A_novel_nonlinear_autoregressive_with_exogenous_input_%28NARX%29_system_for_dengue_fever.pdf
http://eprints.utm.my/id/eprint/16254/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.16254
record_format eprints
spelling my.utm.162542011-10-21T09:35:01Z http://eprints.utm.my/id/eprint/16254/ A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever Abdul Rahim, Herlina Ibrahim, Fatimah Taib, Mohd. Nasir TK Electrical engineering. Electronics Nuclear engineering Many infectious diseases such as dengue, malaria, typhoid and hepatitis produce characteristic variations in the composition of blood [1]. These variations can be a characteristic change in number, size or shape of certain blood cells. For example, in anemia, the red blood cell (RBC) count is reduced [1]. Other diseases may cause changes in the chemical composition of the blood serum and other body fluid, like the urine. In diabetes mellitus, for instance, the glucose concentration in the blood and in urine is characteristically elevated in size and shape, or a chemical analysis of the blood serum can, therefore, provide important information for the diagnosis of such diseases [1]. Similarly, other body fluids, smears, and small samples of live tissue, obtained by biopsy, are studied through the technique of bacteriology, serology and histology to obtain clues for the diagnosis of diseases. However, these techniques are invasive because for the bacteriology, serology and histology diagnosis, require the sample of human’s smear from the throat, blood and tissue respectively. The latest commercial technique takes two hours to detect dengue fever by serological confirmation using samples of serum, plasma or heparinized whole blood [1]. This test is still invasive and expensive and can only be performed by trained medical personnel. The purpose of this paper is to analyze the performance of three different types of order selection criteria for NARX models. This nonlinear NARX models is used to monitor the hemoglobin status in the dengue infections and compares the models with the Neural Network based on AR (NAR) models. Penerbit UTM 2008 Book Section PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/16254/1/A_novel_nonlinear_autoregressive_with_exogenous_input_%28NARX%29_system_for_dengue_fever.pdf Abdul Rahim, Herlina and Ibrahim, Fatimah and Taib, Mohd. Nasir (2008) A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever. In: Development on Mechatronics : a multidisciplinary approach. Penerbit UTM , Johor, p. 62. ISBN 978-983-52-0673-3
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Abdul Rahim, Herlina
Ibrahim, Fatimah
Taib, Mohd. Nasir
A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
description Many infectious diseases such as dengue, malaria, typhoid and hepatitis produce characteristic variations in the composition of blood [1]. These variations can be a characteristic change in number, size or shape of certain blood cells. For example, in anemia, the red blood cell (RBC) count is reduced [1]. Other diseases may cause changes in the chemical composition of the blood serum and other body fluid, like the urine. In diabetes mellitus, for instance, the glucose concentration in the blood and in urine is characteristically elevated in size and shape, or a chemical analysis of the blood serum can, therefore, provide important information for the diagnosis of such diseases [1]. Similarly, other body fluids, smears, and small samples of live tissue, obtained by biopsy, are studied through the technique of bacteriology, serology and histology to obtain clues for the diagnosis of diseases. However, these techniques are invasive because for the bacteriology, serology and histology diagnosis, require the sample of human’s smear from the throat, blood and tissue respectively. The latest commercial technique takes two hours to detect dengue fever by serological confirmation using samples of serum, plasma or heparinized whole blood [1]. This test is still invasive and expensive and can only be performed by trained medical personnel. The purpose of this paper is to analyze the performance of three different types of order selection criteria for NARX models. This nonlinear NARX models is used to monitor the hemoglobin status in the dengue infections and compares the models with the Neural Network based on AR (NAR) models.
format Book Section
author Abdul Rahim, Herlina
Ibrahim, Fatimah
Taib, Mohd. Nasir
author_facet Abdul Rahim, Herlina
Ibrahim, Fatimah
Taib, Mohd. Nasir
author_sort Abdul Rahim, Herlina
title A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
title_short A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
title_full A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
title_fullStr A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
title_full_unstemmed A novel nonlinear autoregressive with exogenous input (NARX) system for dengue fever
title_sort novel nonlinear autoregressive with exogenous input (narx) system for dengue fever
publisher Penerbit UTM
publishDate 2008
url http://eprints.utm.my/id/eprint/16254/1/A_novel_nonlinear_autoregressive_with_exogenous_input_%28NARX%29_system_for_dengue_fever.pdf
http://eprints.utm.my/id/eprint/16254/
_version_ 1643646507497291776
score 13.211869

Similar Items