|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
1
|
|
pubmed:dateCreated |
2000-1-27
|
|
pubmed:abstractText |
To evaluate the performance of a backpropagation artificial neural network (ANN) in the diagnosis of men with lower urinary tract symptoms (LUTS) and to compare its performance to that of a traditional linear regression model.
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
AIM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Jan
|
|
pubmed:issn |
0022-5347
|
|
pubmed:author |
|
|
pubmed:issnType |
Print
|
|
pubmed:volume |
163
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
300-5
|
|
pubmed:dateRevised |
2006-11-15
|
|
pubmed:meshHeading |
|
|
pubmed:year |
2000
|
|
pubmed:articleTitle |
Prediction of bladder outlet obstruction in men with lower urinary tract symptoms using artificial neural networks.
|
|
pubmed:affiliation |
Department of Epidemiology, University of Nijmegen, The Netherlands.
|
|
pubmed:publicationType |
Journal Article,
Clinical Trial
|
