Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2002-4-25
pubmed:abstractText
Medically serious suicide attempts have been recognized as the most important predictor of suicide. The Computerized Suicide Risk Scale based on backpropagation neural networks (CSRS-BP) has been recently found efficient in the detection of records of patients who performed medically serious suicide attempts (MSSA). OBJECTIVES. To validate the CSRS-BP by: 1) using the CSRS-BP with patients instead of records; 2) comparing the ability of expert psychiatrists to detect MSSA, using the CSRS checklist; and 3) comparing the results of the Risk Estimator for Suicide (RES) and the self-rating Suicide Risk Scale (SRS) with the CSRS-BP.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Apr
pubmed:issn
0924-9338
pubmed:author
pubmed:issnType
Print
pubmed:volume
17
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
75-81
pubmed:dateRevised
2004-11-17
pubmed:meshHeading
pubmed:year
2002
pubmed:articleTitle
Validation of the Computerized Suicide Risk Scale--a backpropagation neural network instrument (CSRS-BP).
pubmed:affiliation
Sha'ar Menashe Mental Health Center, Research Institute for Psychiatric Studies, Bruce Rappaport Faculty of Medicine, Technion, Haifa, Israel. shrmodai@matat.health.gov.il
pubmed:publicationType
Journal Article