Synthetic datasets for open software development in rare disease research.

Ibraheem Al-DhamariHammam Abu AttiehFabian Prasser

Published in: Orphanet journal of rare diseases (2024)

The results of our work can serve as a starting point for researchers and developers working on methods and platforms that aim to improve the availability of rare disease data. Potential applications include using the datasets for testing purposes during the implementation of information systems or tailored privacy-enhancing technologies.

Keyphrases

big data
health information
healthcare
primary care
rna seq
minimally invasive
electronic health record
data analysis
machine learning
climate change
risk assessment
deep learning
artificial intelligence