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Overview of the CLEF eHealth Evaluation Lab 2016

  • Liadh KellyEmail author
  • Lorraine Goeuriot
  • Hanna Suominen
  • Aurélie Névéol
  • João Palotti
  • Guido Zuccon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9822)

Abstract

In this paper we provide an overview of the fourth edition of the CLEF eHealth evaluation lab. CLEF eHealth 2016 continues our evaluation resource building efforts around the easing and support of patients, their next-of-kins and clinical staff in understanding, accessing and authoring eHealth information in a multilingual setting. This year’s lab offered three tasks: Task 1 on handover information extraction related to Australian nursing shift changes, Task 2 on information extraction in French corpora, and Task 3 on multilingual patient-centred information retrieval considering query variations. In total 20 teams took part in these tasks (3 in Task 1, 7 in Task 2 and 10 in Task 3). Herein, we describe the resources created for these tasks, evaluation methodology adopted and provide a brief summary of participants to this year’s challenges and some results obtained. As in previous years, the organizers have made data and tools associated with the lab tasks available for future research and development.

Keywords

Evaluation Entity linking Information retrieval Information extraction Medical informatics Nursing records Patient handoff/handover Speech recognition Test-set generation Text classification Text segmentation Self-diagnosis 

Notes

Acknowledgements

The CLEF eHealth 2016 evaluation lab has been supported in part by (in alphabetical order) the ANR, the French National Research Agency, under grant CABeRneT ANR-13-JS02-0009-01; CLEF Initiative; ESF ELIAS network program Horizon 2020 program (H2020-ICT-2014-1) under grant agreement 644753 (KCONNECT); Microsoft Azure for Research Award CRM:0518649; NICTA, funded by the Australian Government through the Department of Communications and the Australian Research Council through the Information and Communications Technology (ICT) Centre of Excellence Program; and PhysioNetWorks Workspaces.

We express our gratitude to Maricel Angel, Registered Nurse at NICTA, for helping us to create the Task 1 dataset, using the Protégé resource, which is supported by grant GM10331601 from the National Institute of General Medical Sciences of the United States National Institutes of Health. We are also thankful to the people involved in the query creation and relevance assessment exercise. Last but not least, we gratefully acknowledge the participating teams’ hard work. We thank them for their submissions and interest in the lab.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Liadh Kelly
    • 1
    Email author
  • Lorraine Goeuriot
    • 2
  • Hanna Suominen
    • 3
    • 4
  • Aurélie Névéol
    • 5
  • João Palotti
    • 6
  • Guido Zuccon
    • 7
  1. 1.ADAPT CentreTrinity CollegeDublinIreland
  2. 2.LIGUniversité Grenoble AlpesGrenobleFrance
  3. 3.Data61The Australian National University, University of CanberraCanberraAustralia
  4. 4.University of TurkuTurkuFinland
  5. 5.LIMSI CNRS UPR 3251 Universitté Paris-SaclayOrsayFrance
  6. 6.Vienna University of TechnologyViennaAustria
  7. 7.Queensland University of TechnologyBrisbaneAustralia

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