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Causes for poor information retrieval in PubMed

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LT3
Abstract
We conducted an information retrieval test in a group of Dutch-speaking and native English-speaking nursing students and analyzed the errors in the queries that did not lead to the selection of any relevant citations. Zero recall is either caused by zero result queries, by badly formulated queries which only yield irrelevant citations, or by bad relevance judgment. This error analysis shows that there are 8 error types, the most important of which are underspecification, selection of irrelevant MeSH terms and incorrect use of Boolean operators.
Keywords
controlled vocabularies, medical information retrieval, terminology

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Citation

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Chicago
Vanopstal, Klaar, Robert Vander Stichele, Godelieve Laureys, and Joost Buysschaert. 2012. “Causes for Poor Information Retrieval in PubMed.” In AMIA Annual Symposium, Abstracts, 1981–1981. American Medical Informatics Association (AMIA).
APA
Vanopstal, K., Vander Stichele, R., Laureys, G., & Buysschaert, J. (2012). Causes for poor information retrieval in PubMed. AMIA Annual Symposium, Abstracts (pp. 1981–1981). Presented at the AMIA 2012 Annual Symposium, American Medical Informatics Association (AMIA).
Vancouver
1.
Vanopstal K, Vander Stichele R, Laureys G, Buysschaert J. Causes for poor information retrieval in PubMed. AMIA Annual Symposium, Abstracts. American Medical Informatics Association (AMIA); 2012. p. 1981–1981.
MLA
Vanopstal, Klaar, Robert Vander Stichele, Godelieve Laureys, et al. “Causes for Poor Information Retrieval in PubMed.” AMIA Annual Symposium, Abstracts. American Medical Informatics Association (AMIA), 2012. 1981–1981. Print.
@inproceedings{3086503,
  abstract     = {We conducted an information retrieval test in a group of Dutch-speaking and native English-speaking nursing students and analyzed the errors in the queries that did not lead to the selection of any relevant citations. Zero recall is either caused by zero result queries, by badly formulated queries which only yield irrelevant citations, or by bad relevance judgment. This error analysis shows that there are 8 error types, the most important of which are underspecification, selection of irrelevant MeSH terms and incorrect use of Boolean operators.},
  author       = {Vanopstal, Klaar and Vander Stichele, Robert and Laureys, Godelieve and Buysschaert, Joost},
  booktitle    = {AMIA Annual Symposium, Abstracts},
  keyword      = {controlled vocabularies,medical information retrieval,terminology},
  language     = {eng},
  location     = {Chicago, IL, USA},
  pages        = {1981--1981},
  publisher    = {American Medical Informatics Association (AMIA)},
  title        = {Causes for poor information retrieval in PubMed},
  year         = {2012},
}