RE-SAMPLE project synthetic data and models trained on synthetic data

RE-SAMPLE will provide synthetically generated data and models trained on that data as open access.

The links to access the relevant datasets and models will soon be published on this page.

You will be able to explore and download available datasets, as well as view schemas and instructions.

To ensure interoperability, synthetic datasets will align with the schema of the Health Data Hub (HDH) in the Edge Nodes.
The data follows the FHIR (Fast Healthcare Interoperability Resources) V4.3.0 standard and will be available in both JSON and XML.

You will also be able to explore and download available pre-trained machine learning models trained on synthetic datasets, as well as documentation and integration guide.

The models will be available in standard formats compatible with widely used machine learning frameworks, such as the Flower Framework and PyTorch, ensuring easy adoption by researchers and practitioners.