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Volumn , Issue , 2015, Pages 47-50

CADEminer: A system for mining consumer reports on adverse drug side effects

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; SEMANTICS;

EID: 84956639404     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2810133.2810143     Document Type: Conference Paper
Times cited : (8)

References (12)
  • 2
    • 84863556111 scopus 로고    scopus 로고
    • Predicting adverse drug events from personal health messages
    • Washington, DC
    • B. Chee, R. Berlin, and B. Schatz. Predicting adverse drug events from personal health messages. In AMIA Annual Symposium Proceedings, pages 217-226, Washington, DC, 2011.
    • (2011) AMIA Annual Symposium Proceedings , pp. 217-226
    • Chee, B.1    Berlin, R.2    Schatz, B.3
  • 4
    • 33745433099 scopus 로고    scopus 로고
    • The incidence and cost of adverse events in Victorian hospitals 2003-04
    • J. Ehsani, T. Jackson, and S. Duckett. The incidence and cost of adverse events in Victorian hospitals 2003-04. The Medical Journal ofAustralia, 184(11):551-555, 2006.
    • (2006) The Medical Journal OfAustralia , vol.184 , Issue.11 , pp. 551-555
    • Ehsani, J.1    Jackson, T.2    Duckett, S.3
  • 5
    • 33646744337 scopus 로고    scopus 로고
    • Under-reporting of adverse drug reactions: A systematic review
    • L. Hazell and S. Shakir. Under-reporting of adverse drug reactions: A systematic review. Drug Safety, 29(5):385-96, 2006.
    • (2006) Drug Safety , vol.29 , Issue.5 , pp. 385-396
    • Hazell, L.1    Shakir, S.2
  • 7
    • 84930167492 scopus 로고    scopus 로고
    • Text and data mining techniques in adverse drug reaction detection
    • Article 56
    • S. Karimi, C. Wang, A. Metke-Jimenez, R. Gaire, and C. Paris. Text and data mining techniques in adverse drug reaction detection. ACM Computing Surveys, 47(4):Article 56, 2015.
    • (2015) ACM Computing Surveys , vol.47 , Issue.4
    • Karimi, S.1    Wang, C.2    Metke-Jimenez, A.3    Gaire, R.4    Paris, C.5
  • 9
    • 84868288599 scopus 로고    scopus 로고
    • Using australian medicines terminology (AMT) and SNOMED CT-AU to better support clinical research
    • S. McBride, M. Lawley, H. Leroux, and S. Gibson. Using Australian Medicines Terminology (AMT) and SNOMED CT-AU to better support clinical research. Studies in Health Technology and Informatics, 178:144-149, 2012.
    • (2012) Studies in Health Technology and Informatics , vol.178 , pp. 144-149
    • McBride, S.1    Lawley, M.2    Leroux, H.3    Gibson, S.4
  • 10
    • 84956601255 scopus 로고    scopus 로고
    • Concept extraction to identify adverse drug reactions in medical forums: A comparison of algorithms
    • abs/1504.06936
    • A. Metke-Jimenez and S. Karimi. Concept extraction to identify adverse drug reactions in medical forums: A comparison of algorithms. CoRR, abs/1504.06936, 2015.
    • (2015) CoRR
    • Metke-Jimenez, A.1    Karimi, S.2
  • 11
    • 69849087073 scopus 로고    scopus 로고
    • Medication safety in acute care in Australia: Where are we now? Part 1: A review of the extent and causes of medication problems 2002-2008
    • E. Roughead and S. Semple. Medication safety in acute care in Australia: Where are we now? part 1: A review of the extent and causes of medication problems 2002-2008. Australia and New Zealand Health Policy, 6(18):12 pages, 2009.
    • (2009) Australia and New Zealand Health Policy , vol.6 , Issue.18 , pp. 12
    • Roughead, E.1    Semple, S.2
  • 12
    • 84870409509 scopus 로고    scopus 로고
    • Detecting signals of adverse drug reactions from health consumer contributed content in social media
    • Beijing, China
    • C. Yang, L. Jiang, H. Yang, and X. Tang. Detecting signals of adverse drug reactions from health consumer contributed content in social media. In ACM SIGKDD Workshop on Health Informatics, Beijing, China, 2012.
    • (2012) ACM SIGKDD Workshop on Health Informatics
    • Yang, C.1    Jiang, L.2    Yang, H.3    Tang, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.