01631nam a2200241 a 4500 vtls000076556 KUKTEM 20251114204557.0 140107t2012 my da f m 000 0 eng d THE0002298(Local) 201905271025 shamsul 201401071027 nabilah UMP RA645.D5 N34 2012 rs Bc. Nagor Nisah Raja Mohammad Diabetes detection system / Nagor Nisah Raja Mohammad Kuantan, Pahang : UMP, 2012 vii, 109 p. : ill. ; 30 cm. + 1 CD-ROM Project paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012 Bibliography : p. 63-65 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. Diabetes Diagnosis 0 0 0 1 10000 10000 2019-09-04 0 RA645.D5 N34 2012 rs Bc. 0000079007 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 7681 | RA645.D5 N34 2012 rs Bc. 0000079008 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 4424 4430 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992