This synthetic dataset has been modeled after data from the European Prevention of Alzheimer's Dementia (EPAD) project (http://ep-ad.org/). The dataset consists of 10 tables and contains data for 200 subjects on biomarkers (apoe_synthetic, csf_synthetic), cognition (cdr_synthetic, dot_counting_synthetic, flanker_synthetic, four_mountains_synthetic, rbans_synthetic), socio demographics (socio_demographics_synthetic), vital signs (vital_signs_synthetic), and imaging (volumetric_synthetic).
The code used to generate the dataset can be found at https://github.com/aridhia/alzheimers-synthetic-data.
Manuscripts citing this dataset
- Virtual Cohorts and Synthetic Data in Dementia: An Illustration of Their Potential to Advance Research. 2020. DOI: 3389/frai.2021.613956
- Data preparation for artificial intelligence in medical imaging: A comprehensive guide to open-access platforms and tools. 2021. DOI: https://doi.org/10.1016/j.ejmp.2021.02.007
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Data access can be requested via AD Workbench FAIR portal here. Access requests are reviewed by the EPAD team and the dataset will be automatically delivered to your workspace Inbox upon approval.
Data Use Agreement
The dataset terms of usage can be accessed here.
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The dataset owner has specified that when publishing results using this dataset, EPAD and their funders are acknowledged. The specifications on how to provide the correct acknowledgement can be found here.
For a more in detail outline on EPAD’s policies for publication and publication credits, see EPAD Policy for publication here.
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