Diabetes detection using data mining techniques
Muhammad Sohail (05021)
Diabetes detection using data mining techniques - Lahore Riphah International University 2021 - ix, 67 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing. Includes bibliographic references. Thesis Supervisor: Miss Aumme-e- Hani
Thesis (MS)--Riphah International University, 2021
English language
Computer Science
Diabetes detection --Using data --Mining techniques--Prediction--FC--RCSI
004 / SOH
Diabetes detection using data mining techniques - Lahore Riphah International University 2021 - ix, 67 p. : ill. ; 30 cm. +CD
Submitted in fulfillment of the requirements for the degree of Master of Science in Computer Science at Faculty of Computing. Includes bibliographic references. Thesis Supervisor: Miss Aumme-e- Hani
Thesis (MS)--Riphah International University, 2021
English language
Computer Science
Diabetes detection --Using data --Mining techniques--Prediction--FC--RCSI
004 / SOH