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Volumn 21, Issue 5, 2014, Pages 866-870

Assessing the similarity of surface linguistic features related to epilepsy across pediatric hospitals

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; EPILEPSY; HUMAN; HYPOTHESIS; ICD-9-CM; LINGUISTICS; MACHINE LEARNING; NATURAL LANGUAGE PROCESSING; NULL HYPOTHESIS; PEDIATRIC HOSPITAL; SUPPORT VECTOR MACHINE; SURFACE PROPERTY; UNITED STATES;

EID: 84906316639     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2013-002601     Document Type: Article
Times cited : (23)

References (12)
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  • 2
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  • 3
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    • Meyer, A.C.1    Dua, T.2    Ma, J.3
  • 4
    • 77952142589 scopus 로고    scopus 로고
    • Racial disparities in the surgical management of intractable temporal lobe epilepsy in the United States: a population-based analysis
    • McClelland S III, Guo H, Okuyemi KS. Racial disparities in the surgical management of intractable temporal lobe epilepsy in the United States: a population-based analysis. Arch Neurol 2010;67:577.
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    • McClelland III, S.1    Guo, H.2    Okuyemi, K.S.3
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    • Quality improvement in neurology: AAN epilepsy quality measures: Report of the Quality Measurement and Reporting Subcommittee of the American Academy of Neurology
    • Fountain N, Van Ness P, Swain-Eng R, et al. Quality improvement in neurology: AAN epilepsy quality measures: Report of the Quality Measurement and Reporting Subcommittee of the American Academy of Neurology. Neurology 2011;76:94-9.
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    • Fountain, N.1    Van Ness, P.2    Swain-Eng, R.3
  • 6
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    • Uzuner Ö, Zhang X, Sibanda T. Machine learning and rule-based approaches to assertion classification. J Am Med Inform Assoc 2009;16:109-15.
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  • 7
    • 84873873123 scopus 로고    scopus 로고
    • Part-of-speech tagging for clinical text: wall or bridge between institutions?
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  • 8
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  • 9
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    • Comparison of corpus linguistics and machine learning techniques in determining differences in clinical notes.
    • Submitted to BMC.
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    • Matykiewicz, P.1    Pestian, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.