pubmed-article:16155360 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C0030705 | lld:lifeskim |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C0019004 | lld:lifeskim |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C0598941 | lld:lifeskim |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C0429632 | lld:lifeskim |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C0681842 | lld:lifeskim |
pubmed-article:16155360 | lifeskim:mentions | umls-concept:C2004457 | lld:lifeskim |
pubmed-article:16155360 | pubmed:issue | 5 | lld:pubmed |
pubmed-article:16155360 | pubmed:dateCreated | 2005-10-10 | lld:pubmed |
pubmed-article:16155360 | 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. | lld:pubmed |
pubmed-article:16155360 | pubmed:language | eng | lld:pubmed |
pubmed-article:16155360 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:16155360 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:16155360 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:16155360 | pubmed:issn | 0250-8095 | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:LinYuh-FengYF | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:WuChia-ChaoCC | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:ChongChee-Fah... | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:LiYu-ChuanYC | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:ChiuJainn-Shi... | lld:pubmed |
pubmed-article:16155360 | pubmed:author | pubmed-author:WangYuh-FengY... | lld:pubmed |
pubmed-article:16155360 | pubmed:copyrightInfo | Copyright (c) 2005 S. Karger AG, Basel. | lld:pubmed |
pubmed-article:16155360 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:16155360 | pubmed:volume | 25 | lld:pubmed |
pubmed-article:16155360 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:16155360 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:16155360 | pubmed:pagination | 507-13 | lld:pubmed |
pubmed-article:16155360 | pubmed:dateRevised | 2007-2-14 | lld:pubmed |
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pubmed-article:16155360 | pubmed:articleTitle | Applying an artificial neural network to predict total body water in hemodialysis patients. | lld:pubmed |
pubmed-article:16155360 | pubmed:affiliation | Department of Nuclear Medicine, Buddhist Dalin Tzu Chi General Hospital, Chiayi County, Taiwan. | lld:pubmed |
pubmed-article:16155360 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:16155360 | pubmed:publicationType | Comparative Study | lld:pubmed |
pubmed-article:16155360 | pubmed:publicationType | Evaluation Studies | lld:pubmed |