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rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
5
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pubmed:dateCreated |
2005-10-10
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|
pubmed:abstractText |
Estimating total body water (TBW) is crucial in determining dry weight and dialytic dose for hemodialysis patients. Several anthropometric equations have been used to predict TBW, but a more accurate method is needed. We developed an artificial neural network (ANN) to predict TBW in hemodialysis patients.
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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:issn |
0250-8095
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pubmed:author |
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pubmed:copyrightInfo |
Copyright (c) 2005 S. Karger AG, Basel.
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|
pubmed:issnType |
Print
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pubmed:volume |
25
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|
pubmed:owner |
NLM
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|
pubmed:authorsComplete |
Y
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pubmed:pagination |
507-13
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pubmed:dateRevised |
2007-2-14
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pubmed:meshHeading |
pubmed-meshheading:16155360-Adult,
pubmed-meshheading:16155360-Aged,
pubmed-meshheading:16155360-Anthropometry,
pubmed-meshheading:16155360-Body Water,
pubmed-meshheading:16155360-Electric Impedance,
pubmed-meshheading:16155360-Female,
pubmed-meshheading:16155360-Humans,
pubmed-meshheading:16155360-Male,
pubmed-meshheading:16155360-Middle Aged,
pubmed-meshheading:16155360-Models, Biological,
pubmed-meshheading:16155360-Neural Networks (Computer),
pubmed-meshheading:16155360-Predictive Value of Tests,
pubmed-meshheading:16155360-Renal Dialysis
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|
pubmed:articleTitle |
Applying an artificial neural network to predict total body water in hemodialysis patients.
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|
pubmed:affiliation |
Department of Nuclear Medicine, Buddhist Dalin Tzu Chi General Hospital, Chiayi County, Taiwan.
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pubmed:publicationType |
Journal Article,
Comparative Study,
Evaluation Studies
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