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Selection of a stroke risk model based on transcranial Doppler ultrasound velocity

DSpace at IIT Bombay

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Title Selection of a stroke risk model based on transcranial Doppler ultrasound velocity
 
Creator MUKHOPADHYAY, S
DAS, I
DAS, K
 
Subject Dantzig selector
Gibbs sampling
optimization
parallel genetic algorithm
sickle cell disease
stochastic search variable selection
SICKLE-CELL-DISEASE
PARALLEL GENETIC ALGORITHM
PULMONARY-HYPERTENSION
VARIABLE SELECTION
SUPERSATURATED DESIGNS
DANTZIG SELECTOR
ANEMIA
PREVENTION
ULTRASONOGRAPHY
TRANSFUSIONS
 
Description Increased transcranial Doppler ultrasound (TCD) velocity is an indicator of cerebral infarction in children with sickle cell disease (SCD). In this article, the parallel genetic algorithm ( PGA) is used to select a stroke risk model with TCD velocity as the response variable. Development of such a stroke risk model leads to the identification of children with SCD who are at a higher risk of stroke and their treatment in the early stages. Using blood velocity data from SCD patients, it is shown that the PGA is an easy-to-use computationally variable selection tool. The results of the PGA are also compared with those obtained from the stochastic search variable selection method, the Dantzig selector and conventional techniques such as stepwise selection and best subset selection.
 
Publisher TAYLOR & FRANCIS LTD
 
Date 2014-10-15T15:08:09Z
2014-10-15T15:08:09Z
2012
 
Type Article
 
Identifier JOURNAL OF APPLIED STATISTICS, 39(12)2699-2712
http://dx.doi.org/10.1080/02664763.2012.725463
http://dspace.library.iitb.ac.in/jspui/handle/100/15119
 
Language en