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Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls
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Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls

José F. Rodrigues
Gabriel Spadon
Bruno Brandoli
S. Amer-Yahia
ArXiv (abs)PDFHTML

Papers citing "Patient trajectory prediction in the Mimic-III dataset, challenges and pitfalls"

6 / 6 papers shown
Title
Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices
Fast, Compact, and High Quality LSTM-RNN Based Statistical Parametric Speech Synthesizers for Mobile Devices
Heiga Zen
Yannis Agiomyrgiannakis
Niels Egberts
Fergus Henderson
Przemyslaw Szczepaniak
71
118
0
20 Jun 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
192
1,105
0
18 Nov 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
272
6,793
0
03 Sep 2014
Discovering Latent Network Structure in Point Process Data
Discovering Latent Network Structure in Point Process Data
Scott W. Linderman
Ryan P. Adams
105
283
0
04 Feb 2014
How to Construct Deep Recurrent Neural Networks
How to Construct Deep Recurrent Neural Networks
Razvan Pascanu
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
157
1,010
0
20 Dec 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
165
6,635
0
22 Dec 2012

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