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Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers

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Main Authors: Azian Azamimi, Abdullah, Nurlisa, Yusuf, Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr., Ammar, Zakaria, Latifah Munirah, Kamarudin, Ali Yeon, Md Shakaff, Prof. Dr., Abdul Hamid, Adom, Prof. Dr., Maz Jamilah, Aznan
Other Authors: azamimi@unimap.edu.my
Format: Article
Language:English
Published: Atlantis Press 2014
Subjects:
Diabetic
Foot ulcer
E-nose
PEN3
Cyranose320
LDA
KNN
PNN
SVM
RBF
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33550
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record_format dspace
spelling my.unimap-335502014-04-09T05:04:04Z Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers Azian Azamimi, Abdullah Nurlisa, Yusuf Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr. Ammar, Zakaria Latifah Munirah, Kamarudin Ali Yeon, Md Shakaff, Prof. Dr. Abdul Hamid, Adom, Prof. Dr. Maz Jamilah, Aznan azamimi@unimap.edu.my iqbalomar@unimap.edu.my ammarzakaria@unimap.edu.my aliyeon@unimap.edu.my abdhamid@unimap.edu.my Diabetic Foot ulcer E-nose PEN3 Cyranose320 LDA KNN PNN SVM RBF Link to publisher's homepage at http://www.atlantis-press.com/ Many diabetic patients eventually develop foot ulcers are at risk for further infection and subsequent amputation if they are not treated promptly. Hence, this study is focused on identifying wild type strain bacteria and standard ATCC bacteria using e-nose which are PEN3 and Cyranose320. Data collected from both e-nose are processed using multivariate classifier such as LDA, KNN, PNN, SVM and RBF. The results indicate that rapid detection of bacteria using e-nose has increased the effectiveness, effi-ciency, reliability and reduced diagnosis time in identifying bacterial species on foot ulcer infection. 2014-04-09T05:04:04Z 2014-04-09T05:04:04Z 2014 Article International Conference on Advances in Intelligent Systems in Bioinformatics, 2014, pages 27-34 978-94-6252-000-4 1951-6851 http://dspace.unimap.edu.my:80/dspace/handle/123456789/33550 http://www.atlantis-press.com/php/pub.php?publication=intel-13&frame=http%3A//www.atlantis-press.com/php/paper-details.php%3Ffrom%3Dsession+results%26id%3D11354%26querystr%3Did%253D199 en Atlantis Press
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Diabetic
Foot ulcer
E-nose
PEN3
Cyranose320
LDA
KNN
PNN
SVM
RBF
spellingShingle Diabetic
Foot ulcer
E-nose
PEN3
Cyranose320
LDA
KNN
PNN
SVM
RBF
Azian Azamimi, Abdullah
Nurlisa, Yusuf
Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.
Ammar, Zakaria
Latifah Munirah, Kamarudin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
Maz Jamilah, Aznan
Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
description Link to publisher's homepage at http://www.atlantis-press.com/
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
Azian Azamimi, Abdullah
Nurlisa, Yusuf
Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.
Ammar, Zakaria
Latifah Munirah, Kamarudin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
Maz Jamilah, Aznan
format Article
author Azian Azamimi, Abdullah
Nurlisa, Yusuf
Mohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.
Ammar, Zakaria
Latifah Munirah, Kamarudin
Ali Yeon, Md Shakaff, Prof. Dr.
Abdul Hamid, Adom, Prof. Dr.
Maz Jamilah, Aznan
author_sort Azian Azamimi, Abdullah
title Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
title_short Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
title_full Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
title_fullStr Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
title_full_unstemmed Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
title_sort multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
publisher Atlantis Press
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33550
_version_ 1643797208086085632
score 13.214268

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