A synthetic dataset of pre-clinical dementia patients, generated using privacy-preserving generative deep learning techniques, based on the EPAD LCS V1500.0 dataset. As well as benchmarking against a series of statistical fidelity and privacy preserving measures, amyloid beta positivity was used as a test of how comparable the dataset is for predictive tasks and model. Contains 125,000 synthetic records.
More information on the synthesis process is available in the paper Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research
Manuscripts citing this dataset
- https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8165312/
- https://alzres.biomedcentral.com/articles/10.1186/s13195-019-0576-y
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