TY  - BOOK
AU  - Nagor Nisah Raja Mohammad
TI  - Diabetes detection system
SN  - THE0002298(Local)
PY  - 2012///
CY  - Kuantan, Pahang
PB  - UMP
KW  - Diabetes
KW  - Diagnosis
N1  - Project paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012; Bibliography : p. 63-65
N2  - 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
ER  -