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ConText: An Algorithm for Identifying Contextual Features from Clinical Text.

, , and . BioNLP@ACL, page 81-88. Association for Computational Linguistics, (2007)

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Identifying Respiratory Findings in Emergency Department Reports for Biosurveillance using MetaMap., , , , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 487-491. IOS Press, (2004)Evaluating the Effectiveness of Four Contextual Features in Classifying Annotated Clinical Conditions in Emergency Department Reports., , and . AMIA, AMIA, (2006)Knowledge Engineering for Very Large Decision-analytic Medical Models., , , , and . AMIA, AMIA, (1999)Estimating the joint disease outbreak-detection time when an automated biosurveillance system is augmenting traditional clinical case finding., , , and . J. Biomed. Informatics, 41 (2): 224-231 (2008)Distinguishing Historical from Current Problems in Clinical Reports - Which Textual Features Help?, , , , and . BioNLP@HLT-NAACL, page 10-18. Association for Computational Linguistics, (2009)A Software Tool to Assist Researchers in Coding Free Text Clinical Reports., , , and . AMIA, AMIA, (2005)Classifying free-text triage chief complaints into syndromic categories with natural language processing., , , , , , and . Artif. Intell. Medicine, 33 (1): 31-40 (2005)Research Paper: Generating a Reliable Reference Standard Set for Syndromic Case Classification., , and . J. Am. Medical Informatics Assoc., 12 (6): 618-629 (2005)Representative threats for research in public health surveillance., , , and . J. Biomed. Informatics, 36 (3): 177-188 (2003)Analysis of Web Access Logs for Surveillance of Influenza., , , , , , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 1202-1206. IOS Press, (2004)