Login / Signup

Next generation phenotyping using narrative reports in a rare disease clinical data warehouse.

Nicolas GarcelonAntoine NeurazRémi SalomonNadia Bahi-BuissonJeanne AmielCapucine PicardNizar MahlaouiVincent BenoitAnita BurgunBastien Rance
Published in: Orphanet journal of rare diseases (2018)
Clinical Data Warehouses can be used to perform Next Generation Phenotyping, especially in the context of rare diseases. We have developed a method to detect phenotypes associated with a group of patients using medical concepts extracted from free-text clinical narratives.
Keyphrases
  • end stage renal disease
  • high throughput
  • ejection fraction
  • newly diagnosed
  • big data
  • prognostic factors
  • peritoneal dialysis
  • machine learning
  • deep learning
  • patient reported outcomes