01403nam a2200193 a 4500001001400000003000700014005001700021008004100038020002200079040000800101100003000109245005900139260003400198300004600232502010100278504002800379520077800407650002401185vtls000076556KUKTEM20251114204557.0140107t2012    my da  f m    000 0 eng d  aTHE0002298(Local)  aUMP0 aNagor Nisah Raja Mohammad10aDiabetes detection system /cNagor Nisah Raja Mohammad  aKuantan, Pahang :bUMP,c2012  avii, 109 p. :bill. ;c30 cm. +e1 CD-ROM  aProject paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012  aBibliography : p. 63-653 aThis 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. 0aDiabetesxDiagnosis