| pubmed-article:15907418 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:15907418 | lifeskim:mentions | umls-concept:C0035647 | lld:lifeskim |
| pubmed-article:15907418 | lifeskim:mentions | umls-concept:C0027051 | lld:lifeskim |
| pubmed-article:15907418 | lifeskim:mentions | umls-concept:C0242406 | lld:lifeskim |
| pubmed-article:15907418 | lifeskim:mentions | umls-concept:C1514983 | lld:lifeskim |
| pubmed-article:15907418 | lifeskim:mentions | umls-concept:C2004457 | lld:lifeskim |
| pubmed-article:15907418 | pubmed:issue | 3 | lld:pubmed |
| pubmed-article:15907418 | pubmed:dateCreated | 2005-5-23 | lld:pubmed |
| pubmed-article:15907418 | pubmed:abstractText | To compare artificial neural networks (ANN) and robust Bayesian classifiers (RBC) in predicting outcome following acute myocardial infarction (AMI). | lld:pubmed |
| pubmed-article:15907418 | pubmed:commentsCorrections | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15907418 | pubmed:language | eng | lld:pubmed |
| pubmed-article:15907418 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:15907418 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:15907418 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:15907418 | pubmed:month | Jun | lld:pubmed |
| pubmed-article:15907418 | pubmed:issn | 0167-5273 | lld:pubmed |
| pubmed-article:15907418 | pubmed:author | pubmed-author:GregoriDarioD | lld:pubmed |
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| pubmed-article:15907418 | pubmed:author | pubmed-author:DesideriAless... | lld:pubmed |
| pubmed-article:15907418 | pubmed:author | pubmed-author:BigiRiccardoR | lld:pubmed |
| pubmed-article:15907418 | pubmed:author | pubmed-author:ChiarottoFran... | lld:pubmed |
| pubmed-article:15907418 | pubmed:author | pubmed-author:ToffoloGianna... | lld:pubmed |
| pubmed-article:15907418 | pubmed:issnType | Print | lld:pubmed |
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| pubmed-article:15907418 | pubmed:volume | 101 | lld:pubmed |
| pubmed-article:15907418 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:15907418 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:15907418 | pubmed:pagination | 481-7 | lld:pubmed |
| pubmed-article:15907418 | pubmed:dateRevised | 2006-11-15 | lld:pubmed |
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| pubmed-article:15907418 | pubmed:year | 2005 | lld:pubmed |
| pubmed-article:15907418 | pubmed:articleTitle | Artificial neural networks and robust Bayesian classifiers for risk stratification following uncomplicated myocardial infarction. | lld:pubmed |
| pubmed-article:15907418 | pubmed:affiliation | CNR Clinical Physiology Institute Niguarda Ca' Granda Hospital P.zza Ospedale Maggiore, Milan, Italy. Riccardo.Bigi@unimi.it | lld:pubmed |
| pubmed-article:15907418 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:15907418 | pubmed:publicationType | Comparative Study | lld:pubmed |
| pubmed-article:15907418 | pubmed:publicationType | Research Support, Non-U.S. Gov't | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:15907418 | lld:pubmed |
| http://linkedlifedata.com/r... | pubmed:referesTo | pubmed-article:15907418 | lld:pubmed |
