Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.
- DOI
- 10.1146/annurev-biodatasci-103123-094844
- Published
- 2025 Aug
- Container
- Annual review of biomedical data science
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1146/annurev-biodatasci-103123-094844,
title = {Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.},
author = {Liu K and Altman RB},
year = {2025},
journal = {Annual review of biomedical data science},
doi = {10.1146/annurev-biodatasci-103123-094844},
url = {https://doi.org/10.1146/annurev-biodatasci-103123-094844}
}RIS
TY - JOUR TI - Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations. AU - Liu K AU - Altman RB PY - 2025 JO - Annual review of biomedical data science DO - 10.1146/annurev-biodatasci-103123-094844 UR - https://doi.org/10.1146/annurev-biodatasci-103123-094844 ER -
APA
K, L., & RB, A. (2025). Conditional Generative Models for Synthetic Tabular Data: Applications for Precision Medicine and Diverse Representations.. Annual review of biomedical data science. https://doi.org/10.1146/annurev-biodatasci-103123-094844
Source records
- pubmed · retrieved 2026-09-26T21:28:54.304Z