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Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/32454Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Alattal, D | - |
| dc.contributor.author | Draghi, B | - |
| dc.contributor.author | Myles, P | - |
| dc.contributor.author | Branson, R | - |
| dc.contributor.author | Tucker, A | - |
| dc.date.accessioned | 2025-12-04T17:48:36Z | - |
| dc.date.available | 2025-12-04T17:48:36Z | - |
| dc.date.issued | 2025 | - |
| dc.identifier | ORCiD: Allan Tucker https://orcid.org/0000-0001-5105-3506 | - |
| dc.identifier.citation | Alattal, D. et al. (2025) 'Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data', International Journal of Computational Intelligence Systems, 0 (in submission) | en_US |
| dc.identifier.issn | 1875-6891 | - |
| dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/32454 | - |
| dc.description | ... | en_US |
| dc.description.abstract | ... | en_US |
| dc.description.sponsorship | This work was funded by the Regulators Pioneer Fund, Department for Science, Innovation and Technology. This work was also supported by the UK Regulatory Science and Innovation Networks–Implementation Phase: Human Health CERSIs programme through the project RADIANT: Regulatory Science Empowering Innovation in Transformative Digital Health and AI (Grant Ref: MCPC24031), funded by the Medical Research Council (MRC) and Innovate UK. | en_US |
| dc.format.extent | 1 - 48 | - |
| dc.format.medium | Print-Electronic | - |
| dc.language.iso | en | en_US |
| dc.publisher | Springer Nature | en_US |
| dc.subject | synthetic data generation | en_US |
| dc.subject | tabular data | en_US |
| dc.subject | fairness in machine learning | en_US |
| dc.subject | healthcare data | en_US |
| dc.subject | generative models | en_US |
| dc.subject | data fidelity | en_US |
| dc.subject | bias mitigation | en_US |
| dc.subject | Bayes boost | en_US |
| dc.subject | GAN | en_US |
| dc.subject | VAE | en_US |
| dc.title | Probabilistic vs Deep Generative Models: A Fairness Centred Evaluation of Synthetic Healthcare Tabular Data | en_US |
| dc.type | Article | en_US |
| dc.relation.isPartOf | International Journal of Computational Intelligence Systems | - |
| pubs.issue | 0 | - |
| pubs.publication-status | Submitted | - |
| pubs.volume | 00 | - |
| Appears in Collections: | Dept of Computer Science Embargoed Research Papers | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Embargoed until publication | 679.69 kB | Adobe PDF | View/Open |
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