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Volumn , Issue , 2012, Pages 5935-5938

A data mining approach to reduce the false alarm rate of patient monitors

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CLASSIFICATION RESULTS; DATA MINING METHODS; FALSE ALARM RATE; FALSE ALARMS; HIGH RATE; HIGH SENSITIVITY; INTENSIVE CARE; MONITORING SYSTEM; MULTI LAYER PERCEPTRON; MULTIPARAMETERS; NAIVE BAYES; PATIENT STATE; TEST SETS; TRAINING DATA;

EID: 84880784564     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6347345     Document Type: Conference Paper
Times cited : (24)

References (11)
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    • M.-C. Chambrin, P. Ravaux, D. Calvelo-Aros, A. Jaborska, C. Chopin, and B. Boniface, "Multicentric study of monitoring alarms in the adult intensive care unit (icu): a descriptive analysis," Intensive Care Medicine, vol. 25, no. 12, pp. 1360-1366, 1999-12-18.
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  • 5
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    • Collection of annotated data in a clinical validation study for alarm algorithms in intensive care? A methodologic framework
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    • S. Siebig, S. Kuhls, M. Imhoff, J. Langgartner, M. Reng, J. Schlmerich, U. Gather, and C. E. Wrede, "Collection of annotated data in a clinical validation study for alarm algorithms in intensive care? a methodologic framework," Journal of Critical Care, vol. 25, no. 1, pp. 128-135, Mar. 2010.
    • (2010) Journal of Critical Care , vol.25 , Issue.1 , pp. 128-135
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  • 6
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    • Improving alarm performance in the medical intensive care unit using delays and clinical context
    • M. Görges, B. A. Markewitz, and D. R. Westenskow, "Improving alarm performance in the medical intensive care unit using delays and clinical context," Anesthesia & Analgesia, vol. 108, no. 5, pp. 1546-1552, 2009.
    • (2009) Anesthesia & Analgesia , vol.108 , Issue.5 , pp. 1546-1552
    • Görges, M.1    Markewitz, B.A.2    Westenskow, D.R.3
  • 8
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    • A. Aboukhalil, L. Nielsen, M. Saeed, R. G. Mark, and G. D. Clifford, "Reducing false alarm rates for critical arrhythmias using the arterial blood pressure waveform," Journal of Biomedical Informatics, vol. 41, no. 3, pp. 442-451, Jun. 2008.
    • (2008) Journal of Biomedical Informatics , vol.41 , Issue.3 , pp. 442-451
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  • 9
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    • Real-time analysis of physiological data to support medical applications
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    • Apiletti, D.1    Baralis, E.2    Bruno, G.3    Cerquitelli, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.