Overview of the ShARe/CLEF eHealth evaluation lab 2013

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8138 LNCS, Issue , 2013, Pages 212-231

  Suominen, Hanna ^a   Salanterä, Sanna ^b   Velupillai, Sumithra ^c   Chapman, Wendy W ^d   Savova, Guergana ^e   Elhadad, Noemie ^f   Pradhan, Sameer ^e   South, Brett R ^g   Mowery, Danielle L ^h   Jones, Gareth J F ⁱ   Leveling, Johannes ⁱ   Kelly, Liadh ⁱ   Goeuriot, Lorraine ⁱ   Martinez, David ^j   Zuccon, Guido ^k  

^a AUSTRALIAN NATIONAL UNIVERSITY   (Australia)

^b UNIVERSITY OF TURKU   (Finland)

^c STOCKHOLM UNIVERSITY   (Sweden)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e HARVARD UNIVERSITY   (United States)

^f Howard Hughes Medical Institute   (United States)

^g UNIVERSITY OF UTAH   (United States)

^h UNIVERSITY OF PITTSBURGH   (United States)

ⁱ DUBLIN CITY UNIVERSITY   (Ireland)

^j UNIVERSITY OF MELBOURNE   (Australia)

^k CSIRO   (Australia)

more..

Author keywords

Evaluation; Information Retrieval; Medical Informatics; Test set Generation; Text Classification; Text Segmentation

Indexed keywords

EVALUATION; MEDICAL INFORMATICS; TEST SETS; TEXT CLASSIFICATION; TEXT SEGMENTATION;

CLASSIFICATION (OF INFORMATION); HEALTH CARE; INFORMATION RETRIEVAL; INFORMATION SCIENCE; TEXT PROCESSING;

LABORATORIES;

EID: 84886418080     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40802-1_24     Document Type: Conference Paper

References (40)

1. Allvin, H., Carlsson, E., Dalianis, H., Danielsson-Ojala, R., Daudaravicius, V., Hassel, M., Kokkinakis, D., Lundgren-Laine, H., Nilsson, G., Nytro, O., Salanterä, S., Skeppstedt, M., Suominen, H., Velupillai, S.: Characteristics of Finnish and Swedish intensive care nursing narratives: A comparative analysis to support the development of clinical language technologies. Journal of Biomedical Semantics 2(suppl. 3), S1 (2011)
2. Suominen, H. (ed.): The Proceedings of the CLEFeHealth2012 - the CLEF 2012 Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis. NICTA (2012)
3. Fox, S.: Health Topics: 80% of internet users look for health information online. Technical report, Pew Research Center (February 2011)
4. Kummervold, P., Chronaki, C., Lausen, B., Prokosch, H., Rasmussen, J., Santana, S., Staniszewski, A., Wangberg, S.: eHealth trends in Europe 2005-2007: A population-based survey. Journal of Medical Internet Research 10(4), e42 (2008)
5. Experian Hitwise: Google Receives 87.81 Percent of Australian Searches in June 2008 (2008), http://www.hitwise.com/au/press-centre/press-releases/2008/ ap-google-earches-for-june/
6. Pradhan, S., Elhadad, N., South, B., Martinez, D., Christensen, L., Vogel, A., Suominen, H., Chapman, W., Savova, G.: Task 1: ShARe/CLEF eHealth Evaluation Lab 2013. In: Online Working Notes of CLEF, CLEF (2013)
7. Mowery, D., South, B., Christensen, L., Murtola, L., Salanterä, S., Suominen, H., Martinez, D., Elhadad, N., Pradhan, S., Savova, G., Chapman, W.: Task 2: ShARe/CLEF eHealth Evaluation Lab 2013. In: Online Working Notes of CLEF, CLEF (2013)
8. Goeuriot, L., Jones, G., Kelly, L., Leveling, J., Hanbury, A., Müller, H., Salanterä, S., Suominen, H., Zuccon, G.: ShARe/CLEF eHealth Evaluation Lab 2013, Task 3: Information retrieval to address patients' questions when reading clinical reports. In: Online Working Notes of CLEF, CLEF (2013)
9. Becker, H.: Computerization of patho-histological findings in natural language. Pathologia Europaea 7(2), 193-200 (1972)
10. Anderson, B., Bross, I., Sager, N.: Grammatical compression in notes and records: Analysis and computation. American Journal of Computational Linguistics 2(4), 68-82 (1975)
11. Hirschman, L., Grishman, R., Sager, N.: From text to structured information: automatic processing of medical reports. In:American Federation of Information Processing Societies: 1976 National Computer Conference. AFIPS Conference Proceedings, vol. 45, pp. 267-275. Association for Computational Linguistics, New York (1976)
12. Collen, M.: Patient data acquisition. Medical Instrumentation 12, 222-225 (1978)
13. Sarkar, I.: Biomedical informatics and translational medicine. Journal of Translational Medicine 8, 22 (2010) (review)
14. Demner-Fushman, D., Chapman, W., McDonald, C.: What can natural language processing do for clinical decision support? Journal of Biomedical Informatics 42(5), 760-772 (2009) (review)
15. Meystre, S., Savova, G., Kipper-Schuler, K., Hurdle, J.: Extracting information from textual documents in the electronic health record: a review of recent research. Yearbook of Medical Informatics, 128-144 (2008) (review)
16. Reiner, B., Knight, N., Siegel, E.: Radiology reporting, past, present, and future: the radiologist's perspective. Journal of the American College of Radiology: JACR 4(5), 313-319 (2007) (review)
17. Suominen, H., Lehtikunnas, T., Back, B., Karsten, H., Salakoski, T., Salanterä, S.: Applying language technology to nursing documents: pros and cons with a focus on ethics. International Journal of Medical Informatics 76(suppl. 2), S293-S301 (2007) (review)
18. Zweigenbaum, P., Demner-Fushman, D., Yu, H., Cohen, K.: Frontiers of biomedical text mining: current progress. Briefings in Bioinformatics 8(5), 358-375 (2007) (review)
19. Mendonça, E., Haas, J., Shagina, L., Larson, E., Friedman, C.: Extracting information on pneumonia in infants using natural language processing of radiology reports. Journal of Biomedical Informatics 38(4), 314-321 (2005)
20. Pakhomov, S., Buntrock, J., Chute, C.: Automating the assignment of diagnosis codes to patient encounters using example based and machine learning techniques. Journal of the American Medical Informatics Association: JAMIA 13(5), 516-525 (2006)
21. Chapman, W., Nadkarni, P., Hirschman, L., D'Avolio, L., Savova, G., Uzuner, Ö.: Overcoming barriers to NLP for clinical text: the role of shared tasks and the need for additional creative solutions. Journal of the American Medical Informatics Association: JAMIA 18, 540-543 (2011) (editorial)
22. Robertson, S., Hull, D.: The TREC-9 filtering track final report. In: NIST Special Publication 500-249: The 9th Text REtrievalConference (TREC9), pp. 25-40 (2000)
23. Roberts, P.M., Cohen, A.M., Hersh, W.R.: Tasks, topics and relevance judging for the TREC genomics track: five years of experience evaluating biomedical text information retrieval systems. Information Retrieval 12, 81-97 (2009)
24. Voorhees, E.M., Tong, R.M.: Overview of the TREC 2011 medical records track. In: Proceedings of TREC, NIST (2011)
25. Kalpathy-Cramer, J., Müller, H., Bedrick, S., Eggel, I., de Herrera, A., Tsikrika, T.: The CLEF 2011 medical image retrieval and classification tasks. In: Working Notes of CLEF 2011 (Cross Language Evaluation Forum) (2011)
26. Müller, H., Clough, P., Deselaers, T., Caputo, B. (eds.): Experimental Evaluation in Visual Information Retrieval. The Information Retrieval Series, vol. 32. Springer (2010)
27. Uzuner, Ö., South, B., Shen, S., DuVall, S.: 2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text. Journal of the American Medical Informatics Association: JAMIA 18, 552-556 (2011)
28. Pestian, J., Brew, C., Matykiewicz, P., Hovermale, D., Johnson, N., Cohen, K., Duch, W.: A shared task involving multi-label classification of clinical free text. In: BioNLP Workshop of the Association for Computational Linguistics, pp. 97-104. Association for Computational Linguistics (2007)
29. Pestian, J., Matykiewicz, P., Linn-Gust, M., South, B., Uzuner, Ö., Wiebe, J., Cohen, K., Hurdle, J., Brew, C.: Sentiment analysis of suicide notes: A shared task. Biomedical Informatics Insights 5(suppl. 1), 3-16 (2012)
30. Boyer, C., Gschwandtner, M., Hanbury, A., Kritz, M., Pletneva, N., Samwald, M., Vargas, A.: Use case definition including concrete data requirements (D8.2). public deliverable, Khresmoi EU project (2012)
31. Hanbury, A., Müller, H.: Khresmoi - multimodal multilingual medical information search. In: MIE Village of the Future (2012)
32. Bodenreider, O., McCray, A.: Exploring semantic groups through visual approaches. Journal of Biomedical Informatics 36, 414-432 (2003)
33. South, B.R., Shen, S., Leng, J., Forbush, T.B., DuVall, S.L., Chapman, W.W.: A prototype tool set to support machine-assisted annotation. In: Proceedings of the 2012 Workshop on Biomedical Natural Language Processing, BioNLP 2012, pp. 130-139. Association for Computational Linguistics, Stroudsburg (2012)
34. Goeuriot, L., Kelly, L., Jones, G., Zuccon, G., Suominen, H., Hanbury, A., Müller, H., Leveling, J.: Creation of a New Evaluation Benchmark for Information Retrieval Targeting Patient Information Needs. In: Song, R., Webber, W., Kando, N., Kishida, K. (eds.) Proceedings of the 5th International Workshop on Evaluating Information Access (EVIA), A Satellite Workshop of the NTCIR-10 Conference. National Institute of Informatics/Kijima Printing, Tokyo/Fukuoka (2013)
35. Koopman, B., Zuccon, G.: Relevation! an open source system for information retrieval relevance assessment. arXiv preprint (2013)
36. Salton, G., Wong, A., Yang, C.S.: A vector space model for automatic indexing. Communications of the ACM 18(11), 613-620 (1975)
37. Robertson, S.E., Jones, S.: Simple, proven approaches to text retrieval. Technical Report 356, University of Cambridge (1994)
38. Yeh, A.: More accurate tests for the statistical significance of result differences. In: Proceedings of the 18th Conference on Computational Linguistics (COLING), Saarbrücken, Germany, pp. 947-953 (2000)
39. Smucker, M., Allan, J., Carterette, B.: A comparison of statistical significance tests for information retrieval evaluation. In: Proceedings of the 16th ACM Conference on Information and Knowledge Management (CIKM 2007), pp. 623-632. Association for Computing Machinery, New York (2007)
40. Järvelin, K., Kekäläinen, J.: Cumulated gain-based evaluation of IR techniques. ACM Transactions on Information Systems 20(4), 422-446 (2002)