105 citations · 109 across the 4 of their papers we have counts for
5 papers
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…
Semantic filtering through deep source separation on microscopy images
Avelino Javer, Jens Rittscher
By their very nature microscopy images of cells and tissues consist of a limited number of object types or components. In contrast to most natural scenes, the composition is known…
Individuality and universality in the growth-division laws of single E. coli cells
Andrew S. Kennard, Matteo Osella, Avelino Javer +5
The mean size of exponentially dividing E. coli cells cultured in different nutrient conditions is known to depend on the mean growth rate only. However, the joint fluctuations rel…