Linked Life Data

15613224

Source:http://linkedlifedata.com/resource/pubmed/id/15613224

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2004-12-22
pubmed:abstractText
Artificial neural networks present a technique for modeling relationships between variables in complex systems. The negative effects of headache are determined by many "biopsychosocial" elements that represent a complex system. Artificial neural networks may therefore be useful for examining psychological factors in headache. To test this hypothesis, we trained an artificial neural network to predict life-style interference attributed to headache from psychological measures of anger, depression, and coping appraisal and strategies. The artificial neural network demonstrated a better fit of the data than that obtained by multiple regression, and predicted interference levels to within 10% error for 80% of novel cases. Artificial neural networks may be a useful technique for examining psychological correlates of headache.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
1526-4610
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
39
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
270-4
pubmed:dateRevised
2009-2-2
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Headache interference as a function of affect and coping: an artificial neural network analysis.
pubmed:affiliation
Department of Psychology, The University of Adelaide, South Australia.
pubmed:publicationType
Journal Article