Utility of synthesis data for cardiovascular diseases generated through generative adversarial networks (GANs)
an experimental study
Shahzad Ahmad Khan (2677)
creator
text
Islamabad
(Unpublished)
2021
monographic
xi, 84 p. : ill. ; 30 cm. +CD
Submitted in partial fulfillment of the requirements for the degree of Master of Science in Software Engineering to the Faculty of Computing.
Includes bibliographical references.
Thesis supervisor: Dr. Musharraf Ahmed
Co-supervisor: Ma'am Hajra Murtaza
Thesis (M.S.)--Riphah International University, 2021
English
Software engineering
Electronic health record
Synthetic data generation
Machine learning
Generator loss
FC
004 SHA