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Volumn , Issue , 2016, Pages 473-482

Bidirectional RNN for medical event detection in electronic health records

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; HEALTH; RANDOM PROCESSES; RECORDS MANAGEMENT; RECURRENT NEURAL NETWORKS; SEMANTICS; SUPERVISED LEARNING;

EID: 84994158659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.18653/v1/n16-1056     Document Type: Conference Paper
Times cited : (304)

References (32)
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    • Haerian, K.1    Salmasian, H.2    Friedman, C.3
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    • June. 00001
    • Balaji Polepalli Ramesh, Steven M Belknap, Zuofeng Li, Nadya Frid, Dennis P West, and Hong Yu. 2014. Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administrations Adverse Event Reporting System Narratives. JMIR Medical Informatics, 2(1):e10, June. 00001.
    • (2014) JMIR Medical Informatics , vol.2 , Issue.1 , pp. e10
    • Ramesh, B.P.1    Belknap, S.M.2    Li, Z.3    Frid, N.4    West, D.P.5    Yu, H.6
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    • A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data
    • January
    • Christian M. Rochefort, Aman D. Verma, Tewodros Eguale, Todd C. Lee, and David L. Buckeridge. 2015. A novel method of adverse event detection can accurately identify venous thromboembolisms (VTEs) from narrative electronic health record data. Journal of the American Medical Informatics Association: JAMIA, 22(1):155-165, January.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.