Diabetes detection using data mining techniques (Record no. 53984)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 00821nam a22001937a 4500 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | Riphah International University |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 004 |
| Author Mark | SOH |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Authorship | Muhammad Sohail (05021) |
| 245 ## - TITLE STATEMENT | |
| Title | Diabetes detection using data mining techniques |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Lahore |
| Date of publication | 2021 |
| Name of publisher | Riphah International University |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | ix, 67 p. |
| Illustrations | : ill. |
| Dimensions | ; 30 cm. |
| Accompanying material | +CD |
| 500 ## - GENERAL NOTE | |
| General note | Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing. |
| 500 ## - GENERAL NOTE | |
| General note | Includes bibliographic references. |
| 500 ## - GENERAL NOTE | |
| General note | Thesis Supervisor: Miss Aumme-e- Hani |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (MS)--Riphah International University, 2021 |
| 546 ## - LANGUAGE NOTE | |
| Language note | English language |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Computer Science |
| -- | Diabetes detection |
| Keywords | Using data |
| -- | Mining techniques |
| -- | Prediction |
| -- | FC |
| -- | RCSI |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| item type | Thesis |
| Not for loan | Home library | Current library | Full call number | Barcode | Koha item type |
|---|---|---|---|---|---|
| Lahore Raiwind Campus | Lahore Raiwind Campus | 004 SOH | 59399 | Thesis |