Deep generative models in DataSHIELD.

Published in: BMC medical research methodology (2021)

Our implementation adds to DataSHIELD the ability to generate artificial data that can be used for various analyses, e.g., for pattern recognition with deep learning. This also demonstrates more generally how DataSHIELD can be flexibly extended with advanced algorithms from languages other than R.

Keyphrases

deep learning
machine learning
artificial intelligence
big data
convolutional neural network
primary care
electronic health record
healthcare
quality improvement