Replica Analytics - An Aetion Company

Conference: 11th PHUSE/FDA Computational Science Symposium

Conference: 11th PHUSE/FDA Computational Science Symposium

At the 11th PHUSE/FDA Computational Science Symposium, Dr. Khaled El Emam will deliver a Synthetic Data Hands-on Workshop. Synthetic Data Generation (SDG) is an approach for sharing datasets in a privacy preserving manner that has been applied to clinical trial and real-world datasets. A machine learning model is first trained on a source dataset, and then that model is used to generate new, non-identifiable data with no one-to-one mapping back to a person. The generated data retains the statistical properties and patterns in the source while meeting privacy thresholds. As such, SDG is gaining rapid interest and adoption as a privacy enhancing technology that solves many data access, reuse and sharing problems, and requires fewer additional controls to manage overall risks.

This interactive 90-minute workshop will cover the following topics: (a) generating synthetic health data, (b) understanding and evaluating the privacy benefits and risks of synthetic data, and (c) evaluating the utility of synthetic data. The session will be a mixture of lectures and hands-on exercises using an online SDG tool. No programming experience is required. Participants should bring a laptop and be configured for WiFi access at the conference.

There is a cost to attend this event.