title: Searching related resources in a quality controlled health gateway: a feasibility study.
abstract: OBJECTIVE
  The neighbors of a document are those documents in a corpus that are most similar to it. The objective of this paper is to develop and evaluate the related resources algorithm (CISMeF-RRA) in the context of a quality-controlled health gateway on the Internet CISMeF.
  
  
  METHODS
  CISMeF-RRA is inspired by the PubMed Related Citations Articles. CISMeF-RRA combines statistical distances with a semantic distance using MeSH terms/qualifiers.
  
  
  METHODS
  In this feasibility study an evaluation was performed using 50 CISMeF resources randomly chosen.
  
  
  RESULTS
  Overall, 49% of the related documents were ranked as relevant.
  
  
  CONCLUSIONS
  if this feasibility study is confirmed by another evaluation of more resources, CISMeF-RRA will be implemented in the CISMeF catalog.
authors.affiliation: CISMeF, Rouen University Hospital, France.
authors.forename: Tayeb
authors.initials: T
authors.lastname: Merabti
authors.forename: Suzanne
authors.initials: S
authors.lastname: Pereira
authors.forename: Catherine
authors.initials: C
authors.lastname: Letord
authors.forename: Thierry
authors.initials: T
authors.lastname: Lecroq
authors.forename: Michel
authors.initials: M
authors.lastname: Joubert
authors.forename: Badisse
authors.initials: B
authors.lastname: Dahamna
authors.forename: Stéfan J
authors.initials: SJ
authors.lastname: Darmoni
mesh_terms: D000043:Abstracting and Indexing; D000465:Algorithms; D016206:Databases, Bibliographic; D005240:Feasibility Studies; D006801:Humans; D016247:Information Storage and Retrieval; D020407:Internet; D016239:MEDLINE; D046650:Medical Subject Headings; D039781:PubMed; D011786:Quality Control; D012660:Semantics; D018875:Vocabulary, Controlled