![]() Users can make requests using a sign-in section where they can follow the progress of their request. Faiz built the website using Ruby on Rails and deployed it to Heroku. Lastly, because the synthetic data will be analysed, the interns checked the analysis produced similar results.įaiz and Rebeca spent their time over the summer working to create the Syndersera website. They compared the distribution of the variables between the two datasets, as well as the relationship between the variables to make sure these were replicated accurately. Using an already published evaluation method for synthetic data, the interns adapted it to compare their synthetic data on malaria to the real data. The interns then tested the GAN with a publicly available dataset about malaria in Uganda.Īisha, Lulu and Rebeca worked to evaluate the synthetic data, and compare it to the real data to make sure it is similar but does not identify people. The interns also explored how to add privacy to the GAN to make sure individuals could not be identified in the synthetic data. GANs can create synthetic data from multi-dimensional datasets, which include many different features like numerical and categorical data which is important for healthcare data. The interns split up into smaller teams to build the Syndasera prototype in four steps:Įvonne, Harry and Lulu worked on creating the synthetic data using a generative adversarial network (GAN). Since it is often difficult to get access to patient data, for good reason, synthetic data allows others to use it more freely for research while also protecting patient confidentiality. Organisations that hold real confidential patient data will be able to use Syndasera to request synthetic versions of their data. Our 6 interns, Harry, Aisha, Faiz, Evonne, Lulu and Rebeca spent 12 weeks this summer working to create Syndasera, a prototype for an online service that generates synthetic data for researchers. But instead of working individually on separate projects, this summer our interns worked collaboratively as a team to develop and deliver one big project. Our 2020 internship programme looked quite different this year, not least because we were all working from home in the middle of a global pandemic. Our 2020 interns built a synthetic data service
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |