000			01631nam a2200241 a 4500
001			vtls000076556
003			KUKTEM
005			20251114204557.0
008			140107t2012 my da f m 000 0 eng d
020			_aTHE0002298(Local)
039		9	_a201905271025 _bshamsul _y201401071027 _znabilah
040			_aUMP
090			_aRA645.D5 N34 2012 rs Bc.
100	0		_aNagor Nisah Raja Mohammad
245	1	0	_aDiabetes detection system / _cNagor Nisah Raja Mohammad
260			_aKuantan, Pahang : _bUMP, _c2012
300			_avii, 109 p. : _bill. ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012
504			_aBibliography : p. 63-65
520	3		_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.
650		0	_aDiabetes _xDiagnosis
999			_aVIRTUA40 _c4424 _d4430
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*9992