Abstract:
INTRODUCTION:This paper explores the benefits of using n-grams and semantic features for the classification of disease outbreak reports, in the context of the BioCaster disease outbreak report text mining system. A novel feature of this work is the use of a general purpose semantic tagger - the USAS tagger - to generate features. BACKGROUND:We outline the application context for this work (the BioCaster epidemiological text mining system), before going on to describe the experimental data used in our classification experiments (the 1000 document BioCaster corpus). FEATURE SETS: Three broad groups of features are used in this work: Named Entity based features, n-gram features, and features derived from the USAS semantic tagger. METHODOLOGY:Three standard machine learning algorithms - Naïve Bayes, the Support Vector Machine algorithm, and the C4.5 decision tree algorithm - were used for classifying experimental data (that is, the BioCaster corpus). Feature selection was performed using the chi(2) feature selection algorithm. Standard text classification performance metrics - Accuracy, Precision, Recall, Specificity and F-score - are reported. RESULTS:A feature representation composed of unigrams, bigrams, trigrams and features derived from a semantic tagger, in conjunction with the Naïve Bayes algorithm and feature selection yielded the highest classification accuracy (and F-score). This result was statistically significant compared to a baseline unigram representation and to previous work on the same task. However, it was feature selection rather than semantic tagging that contributed most to the improved performance. CONCLUSION:This study has shown that for the classification of disease outbreak reports, a combination of bag-of-words, n-grams and semantic features, in conjunction with feature selection, increases classification accuracy at a statistically significant level compared to previous work in this domain.
journal_name
Int J Med Informjournal_title
International journal of medical informaticsauthors
Conway M,Doan S,Kawazoe A,Collier Ndoi
10.1016/j.ijmedinf.2009.03.010subject
Has Abstractpub_date
2009-12-01 00:00:00pages
e47-58issue
12eissn
1386-5056issn
1872-8243pii
S1386-5056(09)00053-7journal_volume
78pub_type
杂志文章abstract::Nonlinear analysis techniques are necessary to understand the complexity of the EMG. The purpose of the present study was to determine the fractal dimension of surface EMG obtained from the biceps brachii of normal subjects during isokinetic flexion-extension of the arm. The measurements were obtained with different l...
journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/s1386-5056(97)00029-4
更新日期:1997-07-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2008.05.007
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章,随机对照试验
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更新日期:2014-05-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2016-10-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:1997-11-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2015-07-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 评论,杂志文章
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更新日期:2002-11-20 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
doi:10.1016/j.ijmedinf.2010.09.004
更新日期:2010-11-01 00:00:00
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pub_type: 杂志文章
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journal_title:International journal of medical informatics
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pub_type: 杂志文章
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pub_type: 杂志文章,评审
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2018-04-01 00:00:00
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pub_type: 杂志文章,随机对照试验
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更新日期:2020-01-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
doi:10.1016/j.ijmedinf.2007.01.006
更新日期:2008-02-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
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更新日期:2001-11-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2016-12-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章
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更新日期:2009-03-01 00:00:00
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journal_title:International journal of medical informatics
pub_type: 杂志文章,评审
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更新日期:2013-09-01 00:00:00