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Patient Prognosis from Vital Sign Time Series: Combining Convolutional Neural Networks with a Dynamical Systems Approach

In this work, we propose a stacked switching vector-autoregressive (SVAR)-CNN architecture to model the changing dynamics in physiological time series for patient prognosis. The SVAR-layer extracts dynamical features (or modes) from the time-series, which are then fed into the CNN-layer to extract h...

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Detalhes bibliográficos
Publicado no:Comput Cardiol (2010)
Main Authors: Lehman, Li-wei, Ghassemi, Mohammad, Snoek, Jasper, Nemati, Shamim
Formato: Artigo
Idioma:Inglês
Publicado em: 2016
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5079526/
https://ncbi.nlm.nih.gov/pubmed/27790623
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/CIC.2015.7411099
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