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