105 citations · 109 across the 4 of their papers we have counts for
3 papers · 1 filter
Compensating trajectory bias for unsupervised patient stratification using adversarial recurrent neural networks
Avelino Javer, Owen Parsons, Oliver Carr +6
Electronic healthcare records are an important source of information which can be used in patient stratification to discover novel disease phenotypes. However, they can be challeng…
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes
Oliver Carr, Avelino Javer, Patrick Rockenschaub +2
The increase in availability of longitudinal electronic health record (EHR) data is leading to improved understanding of diseases and discovery of novel phenotypes. The majority of…
Prediction of the onset of cardiovascular diseases from electronic health records using multi-task gated recurrent units
Fernando Andreotti, Frank S. Heldt, Basel Abu-Jamous +8
In this work, we propose a multi-task recurrent neural network with attention mechanism for predicting cardiovascular events from electronic health records (EHRs) at different time…