Source:http://linkedlifedata.com/resource/pubmed/id/21676606
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Predicate | Object |
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rdf:type | |
lifeskim:mentions | |
pubmed:issue |
9
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pubmed:dateCreated |
2011-7-18
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pubmed:abstractText |
The standardized use of a stethoscope for chest auscultation in clinical research is limited by its inherent inter-listener variability. Electronic auscultation and automated classification of recorded lung sounds may help prevent some of these shortcomings.
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pubmed:grant | |
pubmed:language |
eng
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pubmed:journal | |
pubmed:citationSubset |
IM
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pubmed:status |
MEDLINE
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pubmed:month |
Sep
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pubmed:issn |
1532-3064
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pubmed:author | |
pubmed:copyrightInfo |
Copyright © 2011 Elsevier Ltd. All rights reserved.
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pubmed:issnType |
Electronic
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pubmed:volume |
105
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pubmed:owner |
NLM
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pubmed:authorsComplete |
Y
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pubmed:pagination |
1396-403
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pubmed:meshHeading |
pubmed-meshheading:21676606-Auscultation,
pubmed-meshheading:21676606-Diagnosis, Computer-Assisted,
pubmed-meshheading:21676606-Humans,
pubmed-meshheading:21676606-Lung Diseases,
pubmed-meshheading:21676606-Respiratory Sounds,
pubmed-meshheading:21676606-Sensitivity and Specificity,
pubmed-meshheading:21676606-Signal Processing, Computer-Assisted,
pubmed-meshheading:21676606-Stethoscopes
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pubmed:year |
2011
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pubmed:articleTitle |
Computerized lung sound analysis as diagnostic aid for the detection of abnormal lung sounds: a systematic review and meta-analysis.
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pubmed:affiliation |
Division of Pulmonary and Critical Care, School of Medicine, Johns Hopkins University, Baltimore, MD 21205, USA.
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pubmed:publicationType |
Journal Article,
Review,
Research Support, Non-U.S. Gov't,
Meta-Analysis,
Research Support, N.I.H., Extramural
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