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Diabetes detection system

Nagor Nisah, Raja Mohammad (2012) Diabetes detection system. Faculty of Computer System and Software Engineering, Universiti Malaysia Pahang.

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Abstract

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.

Item Type: Undergraduates Project Papers
Additional Information: Project paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012
Uncontrolled Keywords: Diabetes Diagnosis
Subjects: R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Faculty/Division: Faculty of Computer System And Software Engineering
Depositing User: Ms Suriati Mohd Adam
Date Deposited: 14 Oct 2014 02:32
Last Modified: 03 Mar 2015 09:33
URI: http://umpir.ump.edu.my/id/eprint/6988
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