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Synthetic data generation for tabular health records: A systematic review
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“Various methods and evaluation metrics are used to assess the privacy dimension of the synthetic tabular data generation approaches. These methods include identity disclosure, attribute disclosure, distance to the closest record, membership attack, maximum real-to-synthetic similarity, differential privacy cost, and GANs.”
From Generative AI in medical practice: in-depth exploration of privacy and security challenges (2024) · cites this paper as [47]
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“Hernandez et al [47] discuss privacy concerns related to synthetic tabular data generation in health care.”
From Generative AI in medical practice: in-depth exploration of privacy and security challenges (2024) · cites this paper as [47]
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Citations
Cites
Federated Machine Learning: Concept and Applications
Yang, Q., Liu, Y., Chen, T., & Tong, Y. (2019) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3298981 · Cited by 6,322
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Walonoski, J. A., Kramer, M. A., Nichols, J., Quina, A., Moesel, C., Hall, D., Duffett, C., Dube, K., Gallagher, T., & McLachlan, S. (2017) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocx079 · Cited by 521
A General Survey of Privacy-Preserving Data Mining Models and Algorithms
Aggarwal, C. C., & Yu, P. S. (2008) · The Kluwer international series on advances in database systems · doi:10.1007/978-0-387-70992-5_2 · Cited by 481
Generation and evaluation of synthetic patient data
Gonçalves, A. R., Ray, P., Soper, B., Stevens, J. L., Coyle, L. M., & Sales, A. P. (2020) · BMC Medical Research Methodology · doi:10.1186/s12874-020-00977-1 · Cited by 465
Applications of Generative Adversarial Networks (GANs): An Updated Review
Alqahtani, H., Kavakli, M., & Kumar, G. (2019) · Archives of Computational Methods in Engineering · doi:10.1007/s11831-019-09388-y · Cited by 457
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- El Emam, 2019, The Synthetic Data Paradigm for Using and Sharing Data, Data Anal. Digital Technol., 19, 12
- M.S. Donaldson, K.N. Lohr, I. o. M.U. Committee on Regional Health Data, Health Data in the Information Age: Use, Disclosure, and Privacy, chap. Confidentiality and Privacy of Personal Data, National Academies Press (US), 142–144, ISBN 0-309-53821-1, 1994.
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Cited by
Sorted by citations
Generative AI in medical practice: in-depth exploration of privacy and security challenges
Chen, Y., & Esmaeilzadeh, P. (2024) · Journal of Medical Internet Research · doi:10.2196/53008 · Cited by 353
“Hernandez et al [47] discuss privacy concerns related to synthetic tabular data generation in health care.”
Ning, Y., Teixayavong, S., Shang, Y., Savulescu, J., Nagaraj, V., Miao, D., Mertens, M., Ting, D. S. W., Ong, J. C. L., Liu, M., et al. (2024) · The Lancet Digital Health · doi:10.1016/s2589-7500(24)00143-2 · Cited by 212
Synthetic data generation: State of the art in health care domain
Murtaza, H., Ahmed, M., Khan, N. F., Murtaza, G., Zafar, S. N., & Bano, A. (2023) · Computer Science Review · doi:10.1016/j.cosrev.2023.100546 · Cited by 229
Tabular and latent space synthetic data generation: a literature review
Fonseca, J., & Bação, F. (2023) · Journal Of Big Data · doi:10.1186/s40537-023-00792-7 · Cited by 162
Addressing 6 challenges in generative AI for digital health: A scoping review
Templin, T., Perez, M. W., Sylvia, S., Leek, J. T., & Sinnott-Armstrong, N. (2024) · PLOS Digital Health · doi:10.1371/journal.pdig.0000503 · Cited by 129
Metadata
- Authors
- Hernandez, M., Epelde, G., Alberdi, A., Cilla, R., & Rankin, D.
- Affiliations
- Vicomtech (ES)
- Mondragon Unibertsitatea (ES)
- University of Ulster (GB)
- Corresponding author
- Hernandez, Mikel
- Epelde, Gorka
- Venue
- Neurocomputing
- Publisher
- Elsevier BV
- Published
- 2022-07
- Volume
- 493
- Pages
- 28-45
- ISSN
- 0925-2312 (ISSN-L)
- OpenAlex
- W4224022798
- Cited by
- 278
- References
- 60
- Citations by year
- 2026: 56 · 2025: 90 · 2024: 88 · 2023: 36 · 2022: 8
- FWCI
- 3.87
- Type
- journal article
- Language
- en
- Open access
- green
- pure.ulster.ac.uk
- Licence
- Locations
- Neurocomputing (publishedVersion)
- Ulster University Research Portal (Ulster University) (submittedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Generative Adversarial Networks and Image Synthesis
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- synthetic data generation, tabular data generation, healthcare data privacy, generative adversarial networks, synthetic tabular data generation, patient privacy
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