Discriminative Switching Linear Dynamical Systems applied to Physiological Condition Monitoring

We present a Discriminative Switching Linear Dynamical System (DSLDS) applied to patient monitoring in Intensive Care Units (ICUs). Our approach is based on identifying the state-of-health of a patient given their observed vital signs using a discriminative classifier, and then inferring their under...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2015-04
Main Authors: Georgatzis, Konstantinos, Williams, Christopher K I
Format: Article
Language:English
Subjects:
Condition monitoring
Conditioning
Dynamical systems
Physiology
Switching
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present a Discriminative Switching Linear Dynamical System (DSLDS) applied to patient monitoring in Intensive Care Units (ICUs). Our approach is based on identifying the state-of-health of a patient given their observed vital signs using a discriminative classifier, and then inferring their underlying physiological values conditioned on this status. The work builds on the Factorial Switching Linear Dynamical System (FSLDS) (Quinn et al., 2009) which has been previously used in a similar setting. The FSLDS is a generative model, whereas the DSLDS is a discriminative model. We demonstrate on two real-world datasets that the DSLDS is able to outperform the FSLDS in most cases of interest, and that an \(\alpha\)-mixture of the two models achieves higher performance than either of the two models separately.
ISSN:2331-8422