Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support

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Citation: Gillian D. Sanders and R. Harris and Mark A. Hlatky and Douglas K. Owens. (1995) Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support. In KSL-95-56, May,1995.

Publication techreport ( Edit )
type Technical Report
bibtype techreport
Bibtex basics
author Gillian D. Sanders and R. Harris and Mark A. Hlatky and Douglas K. Owens
title Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support
number KSL-95-56
institution Knowledge Systems, AI Laboratory
year 1995
month May
Bibtex more
note Medical Computer Science
Access Paper
abstract As part of the Cardiac Arrhythmia and Risk of Death Patient Outcomes Research Team (CARD PORT) study we are developing a comprehensive decision model to help physicians identify preferred strategies for preventing sudden cardiac death.The model integrates three components: a screening model, a treatment model, and a value model. Ultimately this model will use the CARD PORT's collective findings to produce policy recommendations and will support patient-specific clinical decision making. Our initial modeling suggests the importance of patient-specific value models in an analysis of treatment options. Although our model is specific to cardiac sudden death, other medical domains that exhibit similar characteristics - the importance of patient preferences and the uncertainty regarding the benefits of strategies for risk stratification and treatment - can use a conceptual framework similar to the approach we used to represent strategies to prevent sudden cardiac death.

KSL Technical Report ID: KSL-95-56
Facts about Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision SupportRDF feed
Abstract As part of the Cardiac Arrhythmia and Risk … As part of the Cardiac Arrhythmia and Risk of Death Patient Outcomes Research Team (CARD PORT) study we are developing a comprehensive decision model to help physicians identify preferred strategies for preventing sudden cardiac death.The model integrates three components: a screening model, a treatment model, and a value model. Ultimately this model will use the CARD PORT's collective findings to produce policy recommendations and will support patient-specific clinical decision making. Our initial modeling suggests the importance of patient-specific value models in an analysis of treatment options. Although our model is specific to cardiac sudden death, other medical domains that exhibit similar characteristics - the importance of patient preferences and the uncertainty regarding the benefits of strategies for risk stratification and treatment - can use a conceptual framework similar to the approach we used to represent strategies to prevent sudden cardiac death. trategies to prevent sudden cardiac death.
Author Gillian D. Sanders and R. Harris and Mark A. Hlatky and Douglas K. Owens  +
Bibtype techreport  +
Has author Gillian D. Sanders and R. Harris and Mark A. Hlatky and Douglas K. Owens  +
Has identifier KSL-95-56  +
Has publishing details May,1995  +
Has title Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support  +
Has where published KSL-95-56  +
Has year 1995  +
Institution Knowledge Systems, AI Laboratory  +
Ksl tr id KSL-95-56  +
Month May  +
Note Medical Computer Science
Number KSL-95-56  +
Process note NO  +
Title Prevention of Sudden Cardiac Death: a Probabilistic Model for Decision Support  +
Year 1995  +
Retrieved from "http://tw.rpi.edu/wiki/Prevention_of_Sudden_Cardiac_Death:_a_Probabilistic_Model_for_Decision_Support"
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