Automating ARDS Management: A Dynamical Systems Approach

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Citation: Paul Dagum and Adam Galper and Adam Seiver. (1994) Automating ARDS Management: A Dynamical Systems Approach. In Knowledge Systems, AI Laboratory, February,1994.

Publication inproceedings ( Edit )
type InProceedings
bibtype inproceedings
Bibtex basics
author Paul Dagum and Adam Galper and Adam Seiver
title Automating ARDS Management: A Dynamical Systems Approach
booktitle Knowledge Systems, AI Laboratory
address Stanford, CA, USA
year 1994
month February
Bibtex more
note Medical Computer Science. Presented at AAAI94 Spring Symposium on Artificial Intelligence in Medicine. In AAAI Press Technical Report Series.
publisher AAAI Press
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abstract We explore the use of the delay-coordinate-embedding technique to automatically construct and use probability forecast models. The technique offers distinct advantages, including coherent handling of noise and continuous data, over previously explored probability forecast methods (Dagum et al., Uncertain Reasoning and Forecasting)employing Bayesian belief networks. We discuss the relationship between the dynamical systems and the probabilistic reasoning approaches to probability forecasting. Finally, we apply the dynamical systems method to a multivariate time series of physiologic measurements of an infant with adult respiratory distress syndrome(ARDS).

KSL Technical Report ID: KSL-94-04
Facts about Automating ARDS Management: A Dynamical Systems ApproachRDF feed
Abstract We explore the use of the delay-coordinate We explore the use of the delay-coordinate-embedding technique to automatically construct and use probability forecast models. The technique offers distinct advantages, including coherent handling of noise and continuous data, over previously explored probability forecast methods (Dagum et al., Uncertain Reasoning and Forecasting)employing Bayesian belief networks. We discuss the relationship between the dynamical systems and the probabilistic reasoning approaches to probability forecasting. Finally, we apply the dynamical systems method to a multivariate time series of physiologic measurements of an infant with adult respiratory distress syndrome(ARDS). adult respiratory distress syndrome(ARDS).
Address Stanford, CA, USA  +
Author Paul Dagum and Adam Galper and Adam Seiver  +
Bibtype inproceedings  +
Booktitle Knowledge Systems, AI Laboratory  +
Has author Paul Dagum and Adam Galper and Adam Seiver  +
Has identifier KSL-94-04  +
Has publishing details February,1994  +
Has title Automating ARDS Management: A Dynamical Systems Approach  +
Has where published Knowledge Systems, AI Laboratory  +
Has year 1994  +
Ksl tr id KSL-94-04  +
Month February  +
Note Medical Computer Science. Presented at AAAI94 Spring Symposium on Artificial Intelligence in Medicine. In AAAI Press Technical Report Series.
Process note NO  +
Publisher AAAI Press  +
Title Automating ARDS Management: A Dynamical Systems Approach  +
Year 1994  +
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