| pubmed-article:18427600 | rdf:type | pubmed:Citation | lld:pubmed |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0019682 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0019699 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0237401 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0521141 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0376284 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C0243067 | lld:lifeskim |
| pubmed-article:18427600 | lifeskim:mentions | umls-concept:C1521738 | lld:lifeskim |
| pubmed-article:18427600 | pubmed:dateCreated | 2008-4-22 | lld:pubmed |
| pubmed-article:18427600 | pubmed:abstractText | To test the following hypotheses: (1) eyes from patients with human immunodeficiency virus (HIV) have retinal damage that causes subtle field defects, (2) sensitive machine learning classifiers (MLCs) can use these field defects to distinguish fields in HIV patients and normal subjects, and (3) the subtle field defects form meaningful patterns. We have applied supervised MLCs--support vector machine (SVM) and relevance vector machine (RVM)--to determine if visual fields in patients with HIV differ from normal visual fields in HIV-negative controls. | lld:pubmed |
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| pubmed-article:18427600 | pubmed:language | eng | lld:pubmed |
| pubmed-article:18427600 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
| pubmed-article:18427600 | pubmed:citationSubset | IM | lld:pubmed |
| pubmed-article:18427600 | pubmed:status | MEDLINE | lld:pubmed |
| pubmed-article:18427600 | pubmed:issn | 1545-6110 | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:WeinrebRobert... | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:GoldbaumMicha... | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:SamplePamela... | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:LeeTe-WonTW | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:FreemanWillia... | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:KozakIgorI | lld:pubmed |
| pubmed-article:18427600 | pubmed:author | pubmed-author:HaoJiucangJ | lld:pubmed |
| pubmed-article:18427600 | pubmed:issnType | Electronic | lld:pubmed |
| pubmed-article:18427600 | pubmed:volume | 105 | lld:pubmed |
| pubmed-article:18427600 | pubmed:owner | NLM | lld:pubmed |
| pubmed-article:18427600 | pubmed:authorsComplete | Y | lld:pubmed |
| pubmed-article:18427600 | pubmed:pagination | 111-8; discussion 119-20 | lld:pubmed |
| pubmed-article:18427600 | pubmed:dateRevised | 2009-11-18 | lld:pubmed |
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| pubmed-article:18427600 | pubmed:meshHeading | pubmed-meshheading:18427600... | lld:pubmed |
| pubmed-article:18427600 | pubmed:meshHeading | pubmed-meshheading:18427600... | lld:pubmed |
| pubmed-article:18427600 | pubmed:meshHeading | pubmed-meshheading:18427600... | lld:pubmed |
| pubmed-article:18427600 | pubmed:meshHeading | pubmed-meshheading:18427600... | lld:pubmed |
| pubmed-article:18427600 | pubmed:meshHeading | pubmed-meshheading:18427600... | lld:pubmed |
| pubmed-article:18427600 | pubmed:year | 2007 | lld:pubmed |
| pubmed-article:18427600 | pubmed:articleTitle | Machine learning classifiers detect subtle field defects in eyes of HIV individuals. | lld:pubmed |
| pubmed-article:18427600 | pubmed:affiliation | Department of Ophthalmology, University of California at San Diego, USA. | lld:pubmed |
| pubmed-article:18427600 | pubmed:publicationType | Journal Article | lld:pubmed |
| pubmed-article:18427600 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |
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