Suominen, Hanna, Kelly, Liadh and Goeuriot, Lorraine (2018) The Scholarly Influence of the CLEF eHealth Initiative by the Conference and Labs of the Evaluation Forum: Review and Bibliometric Study of the 2012-2017 Outcomes. JMIR Research Protocols, 7 (7). ISSN 1929-0748
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Abstract
Background: The eHealth initiative of the Conference and Labs of the Evaluation
Forum (CLEF) has aimed since 2012 to gather researchers working on health text
analytics and to provide them with annual workshop, shared development
challenges/tasks, benchmark datasets, and software for processing and evaluation.
The overall purpose of this initiative is to ease and support patients, their next-ofkin, clinical staff, health scientists, and healthcare policy makers in accessing,
understanding, using, and authoring health information in a multilingual setting.
Objective: This original research paper reports on the outcomes of the first six
installations of CLEF eHealth from 2012 to 2017. The focus is on measuring and
analysing the scholarly influence by reviewing CLEF eHealth papers, together with
relevant citation metrics.
Methods: A review and bibliometric study of the CLEF eHealth proceedings,
working notes, and author-declared paper extensions was conducted. Citation data
for these publications were collected from Google Scholar. Citation content analysis
was used for the publications and their citations.
Results: The large number of registrations, submissions, and citations demonstrate
the substantial community interest in the tasks and their resources. In total, 718
teams have registered their interest in the tasks, leading to 130 teams submitting to
the 15 tasks. 184 papers using CLEF eHealth data generated 1,299 citations, yielding
a total scholarly citation influence of almost 963,000 citations for the 741 co-authors
and included authors from 33 countries across the world. The tasks’ evaluation
outcomes contribute to the knowledge of the difficulty of the research challenges the
tasks address and the applicability of particular methods in solving these challenges,
with typically statistically significant improvements in processing quality.
Conclusions: These outcomes encourage continuing to develop these technologies
to address patient needs. Consequently, data and tools have been opened for future
research and development and the CLEF eHealth initiative continues to run new
challenges.
Item Type: | Article |
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Keywords: | Evaluation Studies as Topic; Health Records; Information Extraction; Information Storage and Retrieval; Information Visualization; Patient Education as Topic; Speech Recognition; Systematic Reviews; Test-set Generation; Text Classification; |
Academic Unit: | Faculty of Science and Engineering > Computer Science Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
Item ID: | 13240 |
Identification Number: | 10.2196/10961 |
Depositing User: | Liadh Kelly |
Date Deposited: | 17 Sep 2020 11:01 |
Journal or Publication Title: | JMIR Research Protocols |
Publisher: | JMIR Publications |
Refereed: | Yes |
Related URLs: | |
URI: | https://mu.eprints-hosting.org/id/eprint/13240 |
Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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