3 citations · 3 across the 2 of their papers we have counts for
3 papers · 1 filter
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients
Oliver Carr, Stojan Jovanovic, Luca Albergante +6
Determining phenotypes of diseases can have considerable benefits for in-hospital patient care and to drug development. The structure of high dimensional data sets such as electron…
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…
Binary Input Layer: Training of CNN models with binary input data
Robert Dürichen, Thomas Rocznik, Oliver Renz +1
For the efficient execution of deep convolutional neural networks (CNN) on edge devices, various approaches have been presented which reduce the bit width of the network parameters…