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Preliminary Experience with Amazon’s Mechanical Turk for Annotating Medical Named Entities

, , , and . Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, page 180–183. (2010)

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Extracting the meaning of medical concept correlations., and . K-CAP, page 179-180. ACM, (2007)Identification of Patients with Acute Lung Injury from Free-Text Chest X-Ray Reports., , and . BioNLP@ACL, page 10-17. Association for Computational Linguistics, (2013)A Study of Biomedical Concept Identification: MetaMap vs. People., and . AMIA, AMIA, (2003)Using statistical and knowledge-based approaches for literature-based discovery., and . (2006)Preliminary Experience with Amazon’s Mechanical Turk for Annotating Medical Named Entities, , , and . Proceedings of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Turk, page 180–183. (2010)On-time clinical phenotype prediction based on narrative reports., , , , and . AMIA, AMIA, (2013)Text Classification to Weave Medical Advice with Patient Experiences., , , , , and . AMIA, AMIA, (2012)LitLinker: capturing connections across the biomedical literature., and . K-CAP, page 105-112. ACM, (2003)Brainstorming design for health: helping patients utilize patient-generated information on the web., , , , , , , , , and 3 other author(s). CSCW (Companion), page 11-12. ACM, (2012)Finding the Meaning of Medical Concept Correlations., and . AMIA, AMIA, (2008)