Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
11
pubmed:dateCreated
2007-10-30
pubmed:abstractText
The SSS-TOAST is an evidence-based classification algorithm for acute ischemic stroke designed to determine the most likely etiology in the presence of multiple competing mechanisms. In this article, we present an automated version of the SSS-TOAST, the Causative Classification System (CCS), to facilitate its utility in multicenter settings.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Nov
pubmed:issn
1524-4628
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
38
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2979-84
pubmed:meshHeading
pubmed-meshheading:17901381-Adult, pubmed-meshheading:17901381-Aged, pubmed-meshheading:17901381-Aged, 80 and over, pubmed-meshheading:17901381-Algorithms, pubmed-meshheading:17901381-Brain Ischemia, pubmed-meshheading:17901381-Cardiovascular Diseases, pubmed-meshheading:17901381-Diagnosis, Computer-Assisted, pubmed-meshheading:17901381-Diagnosis, Differential, pubmed-meshheading:17901381-Female, pubmed-meshheading:17901381-Humans, pubmed-meshheading:17901381-Male, pubmed-meshheading:17901381-Middle Aged, pubmed-meshheading:17901381-Observer Variation, pubmed-meshheading:17901381-Predictive Value of Tests, pubmed-meshheading:17901381-Questionnaires, pubmed-meshheading:17901381-Reproducibility of Results, pubmed-meshheading:17901381-Sensitivity and Specificity, pubmed-meshheading:17901381-Stroke
pubmed:year
2007
pubmed:articleTitle
A computerized algorithm for etiologic classification of ischemic stroke: the Causative Classification of Stroke System.
pubmed:affiliation
AA Martinos Center for Biomedical Imaging and Stroke Service, Department of Neurology, Massachusetts General Hospital, Harvard Medical School, 149 13th Street, Room 2301, Charlestown, MA 02129, USA. hay@partners.org
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, P.H.S., Multicenter Study, Evaluation Studies, Research Support, N.I.H., Extramural