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Diabetes detection system

This thesis proposes the development of Diabetes Detection System (DDS) capable of detecting potential diabetes based on the rule-based technique. Specifically, DDS enables the user to select the symptoms that they have without having to see the doctor as part of early screening. Using these symptom...

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Main Author: Nagor Nisah, Raja Mohammad
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
RA0421 Public health. Hygiene. Preventive Medicine
Online Access:http://umpir.ump.edu.my/id/eprint/6988/1/Diabetes%20Detection%20System.pdf
http://umpir.ump.edu.my/id/eprint/6988/
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spelling my.ump.umpir.69882023-09-04T00:17:55Z http://umpir.ump.edu.my/id/eprint/6988/ Diabetes detection system Nagor Nisah, Raja Mohammad RA0421 Public health. Hygiene. Preventive Medicine This thesis proposes the development of Diabetes Detection System (DDS) capable of detecting potential diabetes based on the rule-based technique. Specifically, DDS enables the user to select the symptoms that they have without having to see the doctor as part of early screening. Using these symptoms, DDS determines whether or not the user is potentially at risk for diabetes. In the current version, DDS is capable to detect three possible outcomes: Healthy, Diabetic Type 1, and Diabetic Type 2. Implemented using Adobe Dreamweaver CS6 and XAMPP, DDS adopts forward-chaining rules with live input data against the conditions (IF parts) of the rules. DDS represents our research vehicle to investigate the applicability of rule-based technique for symptomatic diseases. 2012 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/6988/1/Diabetes%20Detection%20System.pdf Nagor Nisah, Raja Mohammad (2012) Diabetes detection system. Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic RA0421 Public health. Hygiene. Preventive Medicine
spellingShingle RA0421 Public health. Hygiene. Preventive Medicine
Nagor Nisah, Raja Mohammad
Diabetes detection system
description This thesis proposes the development of Diabetes Detection System (DDS) capable of detecting potential diabetes based on the rule-based technique. Specifically, DDS enables the user to select the symptoms that they have without having to see the doctor as part of early screening. Using these symptoms, DDS determines whether or not the user is potentially at risk for diabetes. In the current version, DDS is capable to detect three possible outcomes: Healthy, Diabetic Type 1, and Diabetic Type 2. Implemented using Adobe Dreamweaver CS6 and XAMPP, DDS adopts forward-chaining rules with live input data against the conditions (IF parts) of the rules. DDS represents our research vehicle to investigate the applicability of rule-based technique for symptomatic diseases.
format Undergraduates Project Papers
author Nagor Nisah, Raja Mohammad
author_facet Nagor Nisah, Raja Mohammad
author_sort Nagor Nisah, Raja Mohammad
title Diabetes detection system
title_short Diabetes detection system
title_full Diabetes detection system
title_fullStr Diabetes detection system
title_full_unstemmed Diabetes detection system
title_sort diabetes detection system
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/6988/1/Diabetes%20Detection%20System.pdf
http://umpir.ump.edu.my/id/eprint/6988/
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score 13.211869

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