On Developing Resources for Patient-level Information Retrieval

Stephen Wu, Tamara Timmons, Amy Yates, Meikun Wang, Steven Bedrick, William Hersh, Hongfang Liu


Abstract
Privacy concerns have often served as an insurmountable barrier for the production of research and resources in clinical information retrieval (IR). We believe that both clinical IR research innovation and legitimate privacy concerns can be served by the creation of intra-institutional, fully protected resources. In this paper, we provide some principles and tools for IR resource-building in the unique problem setting of patient-level IR, following the tradition of the Cranfield paradigm.
Anthology ID:
L16-1544
Volume:
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
Month:
May
Year:
2016
Address:
Portorož, Slovenia
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
3412–3416
Language:
URL:
https://aclanthology.org/L16-1544
DOI:
Bibkey:
Cite (ACL):
Stephen Wu, Tamara Timmons, Amy Yates, Meikun Wang, Steven Bedrick, William Hersh, and Hongfang Liu. 2016. On Developing Resources for Patient-level Information Retrieval. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 3412–3416, Portorož, Slovenia. European Language Resources Association (ELRA).
Cite (Informal):
On Developing Resources for Patient-level Information Retrieval (Wu et al., LREC 2016)
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PDF:
https://aclanthology.org/L16-1544.pdf