Representation Learning for Genetic Discovery on Low-Dimensional Embeddings (REGLE) uses machine learning to generate low-dimensional representations of healthcare data. Applied to lung spirograms and blood volume photoplethysmograms, REGLE factors capture additional information beyond expert-defined features, suggesting the utility of this approach.
- Taedong Yun
- Justin Cosentino
- Farhad Hormozdiari
