What's related? Generalizing approaches to related articles in medicine

INTRODUCTION: We did formative evaluations of several variations to the computation of related articles for non-bibliographic resources in the medical domain

Bibliographische Detailangaben
Veröffentlicht in:Proceedings. AMIA Symposium. - 1998. - (2000) vom: 01., Seite 838-42
1. Verfasser: Strasberg, H R (VerfasserIn)
Weitere Verfasser: Manning, C D, Rindfleisch, T C, Melmon, K L
Format: Aufsatz
Sprache:English
Veröffentlicht: 2000
Zugriff auf das übergeordnete Werk:Proceedings. AMIA Symposium
Schlagworte:Journal Article Research Support, U.S. Gov't, P.H.S.
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500 |a Date Revised 13.11.2018 
500 |a published: Print 
500 |a Citation Status MEDLINE 
520 |a INTRODUCTION: We did formative evaluations of several variations to the computation of related articles for non-bibliographic resources in the medical domain 
520 |a METHODS: A binary model and several variations of the vector space model were used to measure similarity between documents. Two corpora were studied, using a human expert as the gold standard 
520 |a RESULTS: Variations in term weights and stopword choices made little difference to performance. Performance was worse when documents were characterized by title words alone or by MeSH terms extracted from document references 
520 |a DISCUSSION: Further studies are needed to evaluate these methods in medical information retrieval systems 
650 4 |a Journal Article 
650 4 |a Research Support, U.S. Gov't, P.H.S. 
700 1 |a Manning, C D  |e verfasserin  |4 aut 
700 1 |a Rindfleisch, T C  |e verfasserin  |4 aut 
700 1 |a Melmon, K L  |e verfasserin  |4 aut 
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