Document Detail


Intracranial hypertension prediction using extremely randomized decision trees.
MedLine Citation:
PMID:  22401795     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Intracranial pressure (ICP) elevation (intracranial hypertension, IH) in neurocritical care is typically treated in a reactive fashion; it is only delivered after bedside clinicians notice prolonged ICP elevation. A proactive solution is desirable to improve the treatment of intracranial hypertension. Several studies have shown that the waveform morphology of the intracranial pressure pulse holds predictors about future intracranial hypertension and could therefore be used to alert the bedside clinician of a likely occurrence of the elevation in the immediate future. In this paper, a computational framework is proposed to predict prolonged intracranial hypertension based on morphological waveform features computed from the ICP. A key contribution of this work is to exploit an ensemble classifier method based on extremely randomized decision trees (Extra-Trees). Experiments on a representative set of 30 patients admitted for various intracranial pressure related conditions demonstrate the effectiveness of the predicting framework on ICP pulses acquired under clinical conditions and the superior results of the proposed approach in comparison to linear and AdaBoost classifiers.
Authors:
Fabien Scalzo; Robert Hamilton; Shadnaz Asgari; Sunghan Kim; Xiao Hu
Related Documents :
11693765 - Aldosterone synthase (cyp11b2) -344 c/t polymorphism is associated with left ventricula...
6861975 - Norepinephrine level in the hypothalamus of the genetically hypertensive mouse.
9407415 - Angiotensin converting enzyme insertion/deletion polymorphism and short-term renal resp...
1889855 - Dissecting the primary causes of genetic hypertension in rats.
23129235 - Longitudinal differences in the mechanical properties of the thoracic aorta depend on c...
872305 - A critical review of the systolic time intervals.
Publication Detail:
Type:  Journal Article     Date:  2012-03-07
Journal Detail:
Title:  Medical engineering & physics     Volume:  34     ISSN:  1873-4030     ISO Abbreviation:  Med Eng Phys     Publication Date:  2012 Oct 
Date Detail:
Created Date:  2012-08-31     Completed Date:  2013-01-11     Revised Date:  2014-09-21    
Medline Journal Info:
Nlm Unique ID:  9422753     Medline TA:  Med Eng Phys     Country:  England    
Other Details:
Languages:  eng     Pagination:  1058-65     Citation Subset:  IM    
Copyright Information:
Copyright © 2011 IPEM. Published by Elsevier Ltd. All rights reserved.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Algorithms
Decision Trees*
Humans
Intracranial Hypertension / diagnosis*,  physiopathology
Intracranial Pressure
Linear Models
Random Allocation
Time Factors
Grant Support
ID/Acronym/Agency:
R01 NS066008/NS/NINDS NIH HHS; R01 NS066008-04/NS/NINDS NIH HHS
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Within-subject effect of coil-to-cortex distance on cortical electric field threshold and motor evok...
Next Document:  Identification of an ancient haemophilia A splice site mutation.