Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine
Identifieur interne : 001662 ( Main/Exploration ); précédent : 001661; suivant : 001663Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine
Auteurs : Y. Aphinyanaphongs ; C. F. AliferisSource :
- AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2003.
Abstract
The discipline of Evidence Based Medicine (EBM) studies formal and quasi-formal methods for identifying high quality medical information and abstracting it in useful forms so that patients receive the best customized care possible [
Url:
PubMed: 14728128
PubMed Central: 1480096
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Pmc, to step Corpus: 000111
- to stream Pmc, to step Curation: 000111
- to stream Pmc, to step Checkpoint: 000190
- to stream Ncbi, to step Merge: 000010
- to stream Ncbi, to step Curation: 000010
- to stream Ncbi, to step Checkpoint: 000010
- to stream Main, to step Merge: 001738
- to stream Main, to step Curation: 001662
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine</title>
<author><name sortKey="Aphinyanaphongs, Y" sort="Aphinyanaphongs, Y" uniqKey="Aphinyanaphongs Y" first="Y." last="Aphinyanaphongs">Y. Aphinyanaphongs</name>
</author>
<author><name sortKey="Aliferis, C F" sort="Aliferis, C F" uniqKey="Aliferis C" first="C. F." last="Aliferis">C. F. Aliferis</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">14728128</idno>
<idno type="pmc">1480096</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480096</idno>
<idno type="RBID">PMC:1480096</idno>
<date when="2003">2003</date>
<idno type="wicri:Area/Pmc/Corpus">000111</idno>
<idno type="wicri:Area/Pmc/Curation">000111</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000190</idno>
<idno type="wicri:Area/Ncbi/Merge">000010</idno>
<idno type="wicri:Area/Ncbi/Curation">000010</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000010</idno>
<idno type="wicri:Area/Main/Merge">001738</idno>
<idno type="wicri:Area/Main/Curation">001662</idno>
<idno type="wicri:Area/Main/Exploration">001662</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine</title>
<author><name sortKey="Aphinyanaphongs, Y" sort="Aphinyanaphongs, Y" uniqKey="Aphinyanaphongs Y" first="Y." last="Aphinyanaphongs">Y. Aphinyanaphongs</name>
</author>
<author><name sortKey="Aliferis, C F" sort="Aliferis, C F" uniqKey="Aliferis C" first="C. F." last="Aliferis">C. F. Aliferis</name>
</author>
</analytic>
<series><title level="j">AMIA Annual Symposium Proceedings</title>
<idno type="eISSN">1942-597X</idno>
<imprint><date when="2003">2003</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>The discipline of Evidence Based Medicine (EBM) studies formal and quasi-formal methods for identifying high quality medical information and abstracting it in useful forms so that patients receive the best customized care possible [<xref ref-type="bibr" rid="b1-007">1</xref>
]. Current computer-based methods for finding high quality information in PubMed and similar bibliographic resources utilize search tools that employ preconstructed Boolean queries. These clinical queries are derived from a combined application of (a) user interviews, (b) ad-hoc manual document quality review, and (c) search over a constrained space of disjunctive Boolean queries. The present research explores the use of powerful text categorization (machine learning) methods to identify content-specific and high-quality PubMed articles. Our results show that models built with the proposed approach outperform the Boolean based PubMed clinical query filters in discriminatory power.</p>
</div>
</front>
</TEI>
<affiliations><list></list>
<tree><noCountry><name sortKey="Aliferis, C F" sort="Aliferis, C F" uniqKey="Aliferis C" first="C. F." last="Aliferis">C. F. Aliferis</name>
<name sortKey="Aphinyanaphongs, Y" sort="Aphinyanaphongs, Y" uniqKey="Aphinyanaphongs Y" first="Y." last="Aphinyanaphongs">Y. Aphinyanaphongs</name>
</noCountry>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001662 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001662 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Main |étape= Exploration |type= RBID |clé= PMC:1480096 |texte= Text Categorization Models for Retrieval of High Quality Articles in Internal Medicine }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:14728128" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \ | NlmPubMed2Wicri -a OcrV1
![]() | This area was generated with Dilib version V0.6.32. | ![]() |