The Synthetic Health Data Hackathon 2020 was a virtual hackathon hosted by Rigshospitalet on the weekend of November 27-29th, 2020. More than 20 teams of students and researchers investigated diabetes and Alzheimer's disease through the use of synthetic data. You can view the teams' projects and explore the event below.
The Synthetic Health Data 2020 hackathon took place on the weekend of November 27-29th, 2020 as a 100% virtual event. In small teams, students and researchers had 40 hours to get creative and develop innovative ways to work with different data sets related to diabetes and Alzheimer's. The hackathon was attended by students and researches, from across disciplines including bioinformatics, medicine and biology, from universities and companies across the globe.
This hackathon was a part of the Synthetic Health And Research Data (SHARED) project and was hosted by professor Henning Langberg from Rigshospitalet.
The focus of the hackathon was to use new data science approaches to fight diabetes and Alzheimer's disease. During the hackathon, teams got to work with both traditional and synthetic patient data. The teams applied different benchmarking methods to determine whether synthetic data would allow researchers to perform exploratory analyses in a way that more effectively protects patients' sensitive information.
You can find two short talks giving an introduction to synthetic data here. The talks are delivered by Arho Virkki, Chief Data Officer at Turku University Hospital and Martin Jespersen, PhD., machine learning expert at Deloitte.
You can download both the synthetic and real data sets for the Alzheimer's challenge here, and for the diabetes challenge here.
Rigshospitalet is Copenhagen’s main university hospital. Located in the heart of the Danish capital, the hospital plays a crucial role in the Danish health-care system and has biomedical research as a key priority.