Wird geladen...
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...
Gespeichert in:
Veröffentlicht in: | Comput Cardiol (2010) |
---|---|
Hauptverfasser: | , , , |
Format: | Artigo |
Sprache: | Inglês |
Veröffentlicht: |
2016
|
Schlagworte: | |
Online Zugang: | 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 |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|