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rdf:type |
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lifeskim:mentions |
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pubmed:issue |
5
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pubmed:dateCreated |
2001-7-20
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pubmed:abstractText |
The choice of therapy for prostatic cancer should depend on a rational preoperative estimate of tumor stage. Artificial neural networks were used to predict postoperative staging of prostatic cancer from sextant biopsies and routinely available preoperative data.
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pubmed:language |
eng
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pubmed:journal |
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pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
May
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pubmed:issn |
0302-2838
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pubmed:author |
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pubmed:issnType |
Print
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pubmed:volume |
39
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
530-6; discussion 537
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pubmed:dateRevised |
2004-11-17
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pubmed:meshHeading |
pubmed-meshheading:11464033-Aged,
pubmed-meshheading:11464033-Aged, 80 and over,
pubmed-meshheading:11464033-Biopsy,
pubmed-meshheading:11464033-Disease Progression,
pubmed-meshheading:11464033-Feasibility Studies,
pubmed-meshheading:11464033-Humans,
pubmed-meshheading:11464033-Male,
pubmed-meshheading:11464033-Middle Aged,
pubmed-meshheading:11464033-Neoplasm Staging,
pubmed-meshheading:11464033-Neural Networks (Computer),
pubmed-meshheading:11464033-Pilot Projects,
pubmed-meshheading:11464033-Postoperative Period,
pubmed-meshheading:11464033-Predictive Value of Tests,
pubmed-meshheading:11464033-Prostatic Neoplasms,
pubmed-meshheading:11464033-Sensitivity and Specificity
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pubmed:year |
2001
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pubmed:articleTitle |
Prediction of postoperative prostatic cancer stage on the basis of systematic biopsies using two types of artificial neural networks.
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pubmed:affiliation |
Department of Pathology, University of Ulm, Germany. torsten.mattfeldt@medizin.uni-ulm.de
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pubmed:publicationType |
Journal Article
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