For latest projects, see our Github.
Example software includes:
- omop-learn: Python package for machine learning on top of the OMOP Common Data Model, including automated feature extraction for both windowed linear models and deep learning
- Deep Markov Models: Theano code for implementing Deep Markov Models using variational inference during learning to maximize the likelihood of the observed data
- Embeddings of Medical Concepts: Code for AMIA CRI 2016 paper “Learning Low-Dimensional Representations of Medical Concepts”
- Health Knowledge Graph: Learned Health Knowledge Graph from emergency room data as featured in Nature Scientific Reports