Cardiovascular disease forecast using machine learning and deep learning paradigms

By: Material type: TextTextPublication details: Lahore (unpublished) 2023Description: x, 54 p. : ill. ; 30 cm. + CDSubject(s): DDC classification:
  • 004 SAI
Dissertation note: Thesis (MSCS)--Riphah International University, 2023
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Item type Current library Call number Status Date due Barcode
Thesis Thesis Lahore Raiwind Campus 004 SAI (Browse shelf(Opens below)) Not for loan 59920

Submitted In fulfillment of the requirement for the degree of Master of Sciences in Computer Science to the Faculty of Computing.

Includes bibliographical references.

Thesis supervisor: Dr. Sheheryar Malik

Thesis (MSCS)--Riphah International University, 2023

English

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