Actionability of Synthetic Data in a Heterogeneous and Rare Health Care Demographic: Adolescents and Young Adults With Cancer
SD is a potentially promising option for data sharing and data augmentation, yet sample size plays a significant role in its actionability. SD generation should go hand-in-hand with consistent scrutiny, and sample size should be carefully considered in this process.
Authors
- Leonard Wee (ORCID: https://orcid.org/0000-0003-1612-9055)
- Joshi Hogenboom (ORCID: https://orcid.org/0000-0003-1278-3295)
- André Dekker (ORCID: https://orcid.org/0000-0002-0422-7996)
- Winette T.A. van der Graaf (ORCID: https://orcid.org/0000-0001-7549-3338)
- Olga Husson (ORCID: https://orcid.org/0000-0002-1387-8686)
- Aiara Lobo Gomes (ORCID: https://orcid.org/0000-0003-4670-6036)
Institutions
- Maastricht University Medical Centre (NL)
- The Netherlands Cancer Institute (NL)
- Erasmus MC Cancer Institute (NL)
- Maastro Clinic (NL)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- JCO Clinical Cancer Informatics
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1200/cci.24.00056
- Citations
- 2
- Primary Topic
- Privacy-Preserving Technologies in Data
- Type
- article
- Field-Weighted Citation Impact
- 0.69