Synthetic data generation methods in healthcare: A review on open-source tools and methods-Reference-Cited by-同舟云学术

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Synthetic data generation methods in healthcare: A review on open-source tools and methods

Published:2024-12 Issue: Volume:23 Page:2892-2910
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Pezoulas Vasileios C.,Zaridis Dimitrios I.,Mylona Eugenia,Androutsos Christos,Apostolidis Kosmas,Tachos Nikolaos S.,Fotiadis Dimitrios I.

Funder

European Commission

Horizon Europe

Publisher

Elsevier BV

Reference103 articles.

1. Axes of a revolution: challenges and promises of big data in healthcare;Shilo;Nat Med,2020

2. Big data in digital healthcare: lessons learnt and recommendations for general practice;Agrawal;Heredity,2020

3. Privacy and utility of private synthetic data for medical data analyses;Appenzeller;Appl Sci,2022

4. S.M. Bellovin, P.K. Dutta, N. Reitinger, Privacy and Synthetic Datasets, vol. 22.

5. Generation and evaluation of privacy preserving synthetic health data;Yale;Neurocomputing,2020

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