Predictive genomics of cardioembolic stroke.

Abstract:

:Cardioembolic stroke is a complex disease resulting from the interaction of numerous factors. Using data from Genes Affecting Stroke Risk and Outcome Study (GASROS), we show that a multivariate predictive model built using Bayesian networks is able to achieve a predictive accuracy of 86% on the fitted values as computed by the area under the receiver operating characteristic curve relative to that of the individual single nucleotide polymorphism with the highest prognostic performance (area under the receiver operating characteristic curve=60%).

journal_name

Stroke

journal_title

Stroke

authors

Ramoni RB,Himes BE,Sale MM,Furie KL,Ramoni MF

doi

10.1161/STROKEAHA.108.533273

subject

Has Abstract

pub_date

2009-03-01 00:00:00

pages

S67-70

issue

3 Suppl

eissn

0039-2499

issn

1524-4628

pii

STROKEAHA.108.533273

journal_volume

40

pub_type

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