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Classifying disease outbreak reports using n-grams and semantic features.

, , , and . Int. J. Medical Informatics, 78 (12): 47-58 (2009)

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Facts and Fabrications about Ebola: A Twitter Based Study., , , , and . CoRR, (2015)Natural Language Processing in Biomedicine: A Unified System Architecture Overview., , , and . CoRR, (2014)Classifying Vietnamese disease outbreak reports with important sentences and rich features., , and . SoICT, page 260-265. ACM, (2012)An Analysis of Twitter Messages in the 2011 Tohoku Earthquake., , and . eHealth, volume 91 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 58-66. Springer, (2011)Extracting health-related causality from twitter messages using natural language processing., , , , , and . BMC Medical Informatics Decis. Mak., 19-S (3): 71-77 (2019)Recognition of medication information from discharge summaries using ensembles of classifiers., , , , and . BMC Medical Informatics Decis. Mak., (2012)An Empirical Study of Sections in Classifying Disease Outbreak Reports., , and . CoRR, (2019)Building a geographical ontology by using Wikipedia., , and . iiWAS, page 345-348. ACM, (2011)Task formulation for Extracting Social Determinants of Health from Clinical Narratives., , , , , and . CoRR, (2023)Improving Text Categorization by Multicriteria Feature Selection., and . J. Adv. Comput. Intell. Intell. Informatics, 9 (5): 570-575 (2005)