Intelligent Web Based Expert System For Respiratory Disease

This study involves the development of a prototype web based expert system for respiratory diseases: WebResEX. The system was developed in web-based environment that can be accessed globally through the World Wide Web (WWW). The main purpose of this system is to provide early diagnosis of respirator...

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Main Author: Munirah, Mohd. Yusof
Format: Thesis
Language:en
en
Published: 2002
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Online Access:https://etd.uum.edu.my/631/1/MUNIRAH_BT._MOHD._YUSOF.pdf
https://etd.uum.edu.my/631/2/1.MUNIRAH_BT._MOHD._YUSOF.pdf
https://etd.uum.edu.my/631/
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author Munirah, Mohd. Yusof
author_facet Munirah, Mohd. Yusof
author_sort Munirah, Mohd. Yusof
building UUM Library
collection Institutional Repository
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
continent Asia
country Malaysia
description This study involves the development of a prototype web based expert system for respiratory diseases: WebResEX. The system was developed in web-based environment that can be accessed globally through the World Wide Web (WWW). The main purpose of this system is to provide early diagnosis of respiratory disease such as asthma, pneumonia, tuberculosis, chronic bronchitis, occupational lung diseases, lung cancer and heart attack. The medical knowledge is store in the knowledge base in the form of production rules (IFITHEN), while the facts of the problem are store in the working memory. The reasoning processes are located in the inference engine. The backbone of the system was implemented using two web based programming language; Cold Fusion 4.5 and JavaScript. The interface has been developed using Swish 2.0 and Adobe Photoshop while the database has been developed using Microsoft Access 2000.
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spelling my.uum.etd-6312013-07-24T12:08:13Z https://etd.uum.edu.my/631/ Intelligent Web Based Expert System For Respiratory Disease Munirah, Mohd. Yusof QA76 Computer software This study involves the development of a prototype web based expert system for respiratory diseases: WebResEX. The system was developed in web-based environment that can be accessed globally through the World Wide Web (WWW). The main purpose of this system is to provide early diagnosis of respiratory disease such as asthma, pneumonia, tuberculosis, chronic bronchitis, occupational lung diseases, lung cancer and heart attack. The medical knowledge is store in the knowledge base in the form of production rules (IFITHEN), while the facts of the problem are store in the working memory. The reasoning processes are located in the inference engine. The backbone of the system was implemented using two web based programming language; Cold Fusion 4.5 and JavaScript. The interface has been developed using Swish 2.0 and Adobe Photoshop while the database has been developed using Microsoft Access 2000. 2002 Thesis NonPeerReviewed application/pdf en https://etd.uum.edu.my/631/1/MUNIRAH_BT._MOHD._YUSOF.pdf application/pdf en https://etd.uum.edu.my/631/2/1.MUNIRAH_BT._MOHD._YUSOF.pdf Munirah, Mohd. Yusof (2002) Intelligent Web Based Expert System For Respiratory Disease. Masters thesis, Universiti Utara Malaysia.
spellingShingle QA76 Computer software
Munirah, Mohd. Yusof
Intelligent Web Based Expert System For Respiratory Disease
title Intelligent Web Based Expert System For Respiratory Disease
title_full Intelligent Web Based Expert System For Respiratory Disease
title_fullStr Intelligent Web Based Expert System For Respiratory Disease
title_full_unstemmed Intelligent Web Based Expert System For Respiratory Disease
title_short Intelligent Web Based Expert System For Respiratory Disease
title_sort intelligent web based expert system for respiratory disease
topic QA76 Computer software
url https://etd.uum.edu.my/631/1/MUNIRAH_BT._MOHD._YUSOF.pdf
https://etd.uum.edu.my/631/2/1.MUNIRAH_BT._MOHD._YUSOF.pdf
https://etd.uum.edu.my/631/
url_provider http://etd.uum.edu.my/