MedEval - A Swedish medical test collection with doctors and patients user groups

Journal of Biomedical Semantics

Volumn 2, Issue 3, 2011, Pages

  Heppin, Karin Friberg ^a  

^a UNIVERSITY OF GOTHENBURG   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84893306421     PISSN: None     EISSN: 20411480     Source Type: Journal    
DOI: 10.1186/2041-1480-2-S3-S4     Document Type: Article

References (17)

1. OHSUMED: The OHSUMED test collection. 2007, [ http://ir.ohsu.edu/ohsumed/ohsumed.html ]
2. Kokkinakis D: MEDLEX: Technical report. Tech. rep. 2004, Department of Swedish, University of Gothenburg, [ http://demo.spraakdata.gu.se/svedk/pbl/MEDLEX_work2004.pdf ]
3. Harman DK: The TREC Test Collections. TREC - Experiment and evaluation in information retrieval. Edited by: Voorhees EM, Harman DK. 2005, Cambridge, Massachusetts: MIT Press
4. Hedlund T: Compounds in Dictionary-Based Cross-Language Information Retrieval. Information Research. 2002, 7 (2):
5. Larsen B, Trotman A: INEX 2006 guidelines for topic development. INEX 2006 Pre-proceedings. 2006, [ http://www.inex.otago.ac.nz/data/proceedings/INEX2006-preproceedings.pdf ]
6. Friberg Heppin K: Resolving Power of Search Keys in MedEval a Swedish Medical Test Collection with User Groups: Doctors and Patients. PhD thesis. 2010, University of Gothenburg, [ http://hdl.handle.net/2077/22709 ]
7. Lemur: The Lemur Toolkit for language modeling and information retrieval. Carnegie Mellon University and the University of Massachusetts nd, [ http://www.lemurproject.org/ ]
8. Ahlgren P: The effects of indexing strategy-query term combination on retrieval effectiveness in a Swedish full text database. PhD thesis. 2004, University College of Borås/Göteborg University, Publications from Valfrid, nr 28
9. Saracevic T: Relevance: A review and a framework for the thinking on the notion in information science. Journal of the American Society for Information Science. 1975, 39 (3): 321-343.
10. Cleverdon C: The Cranfield tests on index language devices. Aslib Proceedings. 1967, 19: 173-192. 10.1108/eb050097.
11. Harter SP: Variations in relevance assessments and the measurement of retrieval effectiveness. Journal of the American Society for Information Science. 1996, 47: 37-49. 10.1002/(SICI)1097-4571(199601)47:1<37::AID-ASI4>3.0.CO;2-3.
12. Voorhees EM: Variations in relevance judgments and the measurement of retrieval effectiveness. Information Processing and Management. 2000, 36: 697-716. 10.1016/S0306-4573(00)00010-8. [ http://www.jasonmorrison.net/iakm/cited/Voorhees_E_variations_in_relevance:judgements.pdf ]
13. Sormunen E: Liberal relevance criteria of TREC - Counting on negligible documents?. Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. 2002
14. Karlgren J: Stylistic Experiments for Information Retrieval. PhD thesis. 2000, Department of Linguistics, Stockholm University
15. Järvelin K, Kekäläinen J: Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems. 2002, 20 (4): 422-446. 10.1145/582415.582418.
16. Diosan L, Rogozan A, Pècuchet JP: Automatic Alignment of Medical Terminologies with General Dictionaries for an Efficient Information Retrieval. Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration. Edited by: Prince V, Roche M. 2009, Medical Information Science Reference, 78-105.
17. Kokkinakis D, Toporowska Gronostaj M: Comparing Lay and Professional Language in Cardiovascular Disorders Corpora. WSEAS Transactions on biology and biomedicine. 2006, 3: 429-437.