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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| Format: | Undergraduates Project Papers |
| Language: | English |
| Published: |
2012
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| Online Access: | http://umpir.ump.edu.my/id/eprint/6988/1/Diabetes%20Detection%20System.pdf |
| _version_ | 1825821861086232576 |
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| author | Nagor Nisah, Raja Mohammad |
| author_facet | Nagor Nisah, Raja Mohammad |
| author_sort | Nagor Nisah, Raja Mohammad |
| collection | UMP |
| 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. |
| first_indexed | 2024-03-06T11:47:55Z |
| format | Undergraduates Project Papers |
| id | UMPir6988 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:47:55Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | UMPir69882023-09-04T00:17:55Z 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. |
| spellingShingle | RA0421 Public health. Hygiene. Preventive Medicine Nagor Nisah, Raja Mohammad Diabetes detection system |
| title | Diabetes detection system |
| title_full | Diabetes detection system |
| title_fullStr | Diabetes detection system |
| title_full_unstemmed | Diabetes detection system |
| title_short | Diabetes detection system |
| title_sort | diabetes detection system |
| topic | RA0421 Public health. Hygiene. Preventive Medicine |
| url | http://umpir.ump.edu.my/id/eprint/6988/1/Diabetes%20Detection%20System.pdf |
| work_keys_str_mv | AT nagornisahrajamohammad diabetesdetectionsystem |