Diabetes detection system / (Record no. 4424)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01631nam a2200241 a 4500 |
| 001 - CONTROL NUMBER | |
| control field | vtls000076556 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20251114204557.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 140107t2012 my da f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | THE0002298(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] | |
| Level of rules in bibliographic description | 201905271025 |
| Level of effort used to assign nonsubject heading access points | shamsul |
| -- | 201401071027 |
| -- | nabilah |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | UMP |
| 090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN) | |
| Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) | RA645.D5 N34 2012 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nagor Nisah Raja Mohammad |
| 245 10 - TITLE STATEMENT | |
| Title | Diabetes detection system / |
| Statement of responsibility, etc. | Nagor Nisah Raja Mohammad |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Kuantan, Pahang : |
| Name of publisher, distributor, etc. | UMP, |
| Date of publication, distribution, etc. | 2012 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | vii, 109 p. : |
| Other physical details | ill. ; |
| Dimensions | 30 cm. + |
| Accompanying material | 1 CD-ROM |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Project paper (Bachelor of Computer Science (Networking)) -- Universiti Malaysia Pahang – 2012 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Bibliography : p. 63-65 |
| 520 3# - SUMMARY, ETC. | |
| Summary, etc. | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Diabetes |
| General subdivision | Diagnosis |
| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Not lost | Not for loan | UMPLIB GAMBANG | UMPLIB GAMBANG | 04/09/2019 | RA645.D5 N34 2012 rs Bc. | 0000079007 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report | |||
| Not lost | Not for loan | UMPLIB GAMBANG | UMPLIB GAMBANG | 04/09/2019 | CD 7681 | RA645.D5 N34 2012 rs Bc. | 0000079008 | 04/09/2019 | 1 | 04/09/2019 | Final Year Report |