Journal article
Normalizing acronyms and abbreviations to aid patient understanding of clinical texts: ShARe/CLEF eHealth Challenge 2013, Task 2
Danielle L Mowery, Brett R South, Lee Christensen, Jianwei Leng, Laura-Maria Peltonen, Sanna Salantera, Hanna Suominen, David Martinez, Sumithra Velupillai, Noemie Elhadad, Guergana Savova, Sameer Pradhan, Wendy W Chapman
Journal of Biomedical Semantics | BMC | Published : 2016
Grants
Awarded by Khresmoi project - European Union Seventh Framework Programme (FP7)
Awarded by US National Institutes of Health
Awarded by Strategic Health IT Advanced Research Projects (SHARP)
Awarded by Academy of Finland
Awarded by National Library of Medicine
Funding Acknowledgements
We extend our gratitude to our funding sources, natural language processing experts, and annotators for their invaluable contributions. We thank Ken Pierce for working with us to complete task 2 data requests from Physionet.org and Qing Zeng for making the Consumer Health Vocabulary available to the community. We appreciate the useful feedback and suggestions from our anonymous reviewers. This work was partially funded by NICTA, which was supported by the Australian Government through the Department of Communications and the Australian Research Council through the ICT Center of Excellence Program, the CLEF Initiative, European Science Foundation (ESF) project ELIAS, Khresmoi project, funded by the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no 257528, ShARe project funded by the US National Institutes of Health (R01GM090187), US Department of Veterans Affairs (VA) Consortium for Healthcare Informatics Research (CHIR), US Office of the National Coordinator of Healthcare Technology, Strategic Health IT Advanced Research Projects (SHARP) 90TR0002, Vardal Foundation (Sweden), Academy of Finland (140323), and National Library of Medicine 5T15LM007059.