Multivariate prediction model for early detection and classification of bacterial species in diabetic foot ulcers
Link to publisher's homepage at http://www.atlantis-press.com/
Saved in:
Main Authors: | , , , , , , , |
---|---|
Other Authors: | |
Format: | Article |
Language: | English |
Published: |
Atlantis Press
2014
|
Subjects: | |
Online Access: | http://dspace.unimap.edu.my:80/dspace/handle/123456789/33550 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimap-33550 |
---|---|
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 |
13.18916 |