[HTML][HTML] Privacy preserving generative adversarial networks to model electronic health records
R Venugopal, N Shafqat, I Venugopal, BMJ Tillbury… - Neural Networks, 2022 - Elsevier
Abstract Hospitals and General Practitioner (GP) surgeries within National Health Services
(NHS), collect patient information on a routine basis to create personal health records such …
(NHS), collect patient information on a routine basis to create personal health records such …
30 years of synthetic data
J Drechsler, AC Haensch - Statistical Science, 2024 - projecteuclid.org
The idea to generate synthetic data as a tool for broadening access to sensitive microdata
has been proposed for the first time three decades ago. While first applications of the idea …
has been proposed for the first time three decades ago. While first applications of the idea …
Generating tabular datasets under differential privacy
G Truda - arXiv preprint arXiv:2308.14784, 2023 - arxiv.org
Machine Learning (ML) is accelerating progress across fields and industries, but relies on
accessible and high-quality training data. Some of the most important datasets are found in …
accessible and high-quality training data. Some of the most important datasets are found in …
Synthetic Electronic Medical Record Generation using Generative Adversarial Networks
MR Beyki - 2021 - vtechworks.lib.vt.edu
It has been a while that computers have replaced our record books, and medical records are
no exception. Electronic Health Records (EHR) are digital version of a patient's medical …
no exception. Electronic Health Records (EHR) are digital version of a patient's medical …