Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1999-3-23
pubmed:abstractText
The authors evaluated the contribution of medical history data to the prediction of breast cancer with artificial neural network (ANN) models based on mammographic findings.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
1076-6332
pubmed:author
pubmed:issnType
Print
pubmed:volume
6
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
10-5
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:9891147-Adult, pubmed-meshheading:9891147-Age Factors, pubmed-meshheading:9891147-Aged, pubmed-meshheading:9891147-Aged, 80 and over, pubmed-meshheading:9891147-Area Under Curve, pubmed-meshheading:9891147-Biopsy, pubmed-meshheading:9891147-Breast Neoplasms, pubmed-meshheading:9891147-Diagnosis, Computer-Assisted, pubmed-meshheading:9891147-Female, pubmed-meshheading:9891147-Forecasting, pubmed-meshheading:9891147-Humans, pubmed-meshheading:9891147-Mammography, pubmed-meshheading:9891147-Medical History Taking, pubmed-meshheading:9891147-Middle Aged, pubmed-meshheading:9891147-Neural Networks (Computer), pubmed-meshheading:9891147-Predictive Value of Tests, pubmed-meshheading:9891147-ROC Curve, pubmed-meshheading:9891147-Reproductive History, pubmed-meshheading:9891147-Sensitivity and Specificity
pubmed:year
1999
pubmed:articleTitle
Effect of patient history data on the prediction of breast cancer from mammographic findings with artificial neural networks.
pubmed:affiliation
Department of Radiology, Duke University Medical Center, Durham, NC 27710, USA.
pubmed:publicationType
Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't