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Volumn , Issue , 2010, Pages

Identifying patients at risk of major adverse cardiovascular events using symbolic mismatch

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; LEARNING SYSTEMS; MULTIVARIANT ANALYSIS; PATIENT TREATMENT; POPULATION STATISTICS; RISK ASSESSMENT;

EID: 85161983312     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (25)
  • 1
    • 0037258210 scopus 로고    scopus 로고
    • Predictors of 90-day outcome in patients stabilized after acute coronary syndromes
    • LK Newby, MV Bhapkar, HD White et al. (2003) Predictors of 90-day outcome in patients stabilized after acute coronary syndromes. Eur Heart J, 172-181.
    • (2003) Eur Heart J , pp. 172-181
    • Newby, L.K.1    Bhapkar, M.V.2    White, H.D.3
  • 2
    • 35548995394 scopus 로고    scopus 로고
    • Safety, tolerability, and initial efficacy of AZD6140, the first reversible oral adenosine diphosphate receptor antagonist, comparedwith clopidogrel, in patients with NonST-segment elevation acute coronary syndrome primary
    • C.P. Cannon, S. Husted, R.A. Harringtonet al. (2007) Safety, Tolerability, and Initial Efficacy of AZD6140, the First Reversible Oral Adenosine Diphosphate Receptor Antagonist, ComparedWith Clopidogrel, in Patients With NonST-Segment Elevation Acute Coronary Syndrome Primary. J Am Coll Cardiol, 1844-1851.
    • (2007) J Am Coll Cardiol , pp. 1844-1851
    • Cannon, C.P.1    Husted, S.2    Harrington, R.A.3
  • 5
    • 0035205182 scopus 로고    scopus 로고
    • Utility of current risk stratification tests for predicting major arrhythmic events after myocardial infarction
    • J.J. Bailey, A.S. Berson, H. Handelsman et al. (2001) Utility of current risk stratification tests for predicting major arrhythmic events after myocardial infarction. J Am Coll Cardio, 1902-1911.
    • (2001) J Am Coll Cardio , pp. 1902-1911
    • Bailey, J.J.1    Berson, A.S.2    Handelsman, H.3
  • 6
    • 65649111223 scopus 로고    scopus 로고
    • Risk stratification for sudden cardiac death: Current approaches and predictive value
    • G. Lopera & A.B. Curtis. (2009) Risk stratification for sudden cardiac death: current approaches and predictive value. Curr Cardiol Rev, 56-64.
    • (2009) Curr Cardiol Rev , pp. 56-64
    • Lopera, G.1    Curtis, A.B.2
  • 7
    • 33947123658 scopus 로고    scopus 로고
    • Clustering and symbolic analysis of cardiovascular signals: Discovery and visualization of medically relevant patterns in long-term data using limited prior knowledge
    • Z. Syed, J. Guttag & C. Stultz. (2007) Clustering and Symbolic Analysis of Cardiovascular Signals: Discovery and Visualization of Medically Relevant Patterns in Long-Term Data Using Limited Prior Knowledge. EURASIP J Adv Sig Proc, 1-16.
    • (2007) EURASIP J Adv Sig Proc , pp. 1-16
    • Syed, Z.1    Guttag, J.2    Stultz, C.3
  • 8
    • 0022929617 scopus 로고
    • Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database
    • P.S. Hamilton & W.J. Tompkins. (1986) Quantitative investigation of QRS detection rules using the MIT/BIH arrhythmia database. IEEE Trans Biomed Eng, 1157-1165.
    • (1986) IEEE Trans Biomed Eng , pp. 1157-1165
    • Hamilton, P.S.1    Tompkins, W.J.2
  • 9
    • 4143054931 scopus 로고    scopus 로고
    • A robust open-source algorithm to detect onset and duration of QRS complexes
    • W. Zong, GB Moody, & D. Jiang. (2003) A robust open-source algorithm to detect onset and duration of QRS complexes. Comp Cardiol, 737-740.
    • (2003) Comp Cardiol , pp. 737-740
    • Zong, W.1    Moody, G.B.2    Jiang, D.3
  • 10
    • 0031061865 scopus 로고    scopus 로고
    • Fast algorithm for point pattern matching: Invariant to translations, rotations and scale changes
    • S.H. Chang, F.H. Cheng, W. Hsu et al. (1997) Fast algorithm for point pattern matching: invariant to translations, rotations and scale changes. Pattern Recognition, 311-320.
    • (1997) Pattern Recognition , pp. 311-320
    • Chang, S.H.1    Cheng, F.H.2    Hsu, W.3
  • 11
    • 0242540438 scopus 로고    scopus 로고
    • Learning to match and cluster large high-dimensional data sets for data integration
    • W.W. Cohen & J. Richman (2002). Learning to match and cluster large high-dimensional data sets for data integration. In Proc. ACM SIGKDD, 475-480.
    • (2002) Proc. ACM SIGKDD , pp. 475-480
    • Cohen, W.W.1    Richman, J.2
  • 13
    • 64149100367 scopus 로고    scopus 로고
    • Similarity-based classification: Concepts and algorithms
    • Y. Chen, E.K. Garcia, M.R. Gupta et al. (2009) Similarity-based classification: concepts and algorithms. JMLR, 747-776.
    • (2009) JMLR , pp. 747-776
    • Chen, Y.1    Garcia, E.K.2    Gupta, M.R.3
  • 14
    • 33749237249 scopus 로고    scopus 로고
    • An analysis of transformation on non-positive semidefinite similarity matrix for kernel machines
    • Santa Barbara
    • G. Wu, EY. Chang & Z. Zhang. (2005) An analysis of transformation on non-positive semidefinite similarity matrix for kernel machines. Technical report, University of California, Santa Barbara.
    • (2005) Technical Report, University of California
    • Wu, G.1    Chang, E.Y.2    Zhang, Z.3
  • 15
    • 0000487102 scopus 로고    scopus 로고
    • Estimating the support of a high-dimensional distribution
    • B. Scholkopf, J.C. Platt, J. Shawe-Taylor, et al. (2001) Estimating the support of a high-dimensional distribution. Neural Computation, 1443-1471.
    • (2001) Neural Computation , pp. 1443-1471
    • Scholkopf, B.1    Platt, J.C.2    Shawe-Taylor, J.3
  • 16
    • 0141797880 scopus 로고    scopus 로고
    • A geometric framework for unsupervised anomaly detection
    • E. Eskin, A. Arnold, M. Prerau et al. (2002) A geometric framework for unsupervised anomaly detection. App Data Mining Comp Secur, 1-20.
    • (2002) App Data Mining Comp Secur , pp. 1-20
    • Eskin, E.1    Arnold, A.2    Prerau, M.3
  • 17
    • 37749041680 scopus 로고    scopus 로고
    • Biomarkers to predict recurrent cardiovascular disease: The Heart and Soul Study
    • M.G. Shlipak, J.H. Ix, K. Bibbins-Domingo et al. (2008) Biomarkers to predict recurrent cardiovascular disease: the Heart and Soul Study. JAMA, 50-57.
    • (2008) JAMA , pp. 50-57
    • Shlipak, M.G.1    Ix, J.H.2    Bibbins-Domingo, K.3
  • 18
    • 77950145124 scopus 로고    scopus 로고
    • Acute coronary syndrome: Emerging tools for diagnosis and risk assessment
    • B. M. Scirica. (2010) Acute coronary syndrome: emerging tools for diagnosis and risk assessment. J Am Coll Cardiol, 1403-1415.
    • (2010) J Am Coll Cardiol , pp. 1403-1415
    • Scirica, B.M.1
  • 19
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: Experimental comparison of representations and distance measures
    • H. Ding, G. Trajcevski, P Scheuermann et al. (2008) Querying and mining of time series data: experimental comparison of representations and distance measures. In Proc. VLDB, 1542-1552.
    • (2008) Proc. VLDB , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3
  • 20
    • 85115214750 scopus 로고
    • Hidden Markov models for labeled sequences
    • A. Krogh. (1994) Hidden Markov models for labeled sequences. In Proc. ICPR, 140-144.
    • (1994) Proc. ICPR , pp. 140-144
    • Krogh, A.1
  • 21
    • 0033289037 scopus 로고    scopus 로고
    • Using the Fisher kernel method to detect remote protein homologies
    • T. Jaakkola, M. Diekhans & D. Haussler. (1999) Using the Fisher kernel method to detect remote protein homologies. In Proc. ICISMB, 149-158.
    • (1999) Proc. ICISMB , pp. 149-158
    • Jaakkola, T.1    Diekhans, M.2    Haussler, D.3
  • 22
    • 84898968688 scopus 로고    scopus 로고
    • Mismatch string kernels for SVM protein classification
    • C. Leslie, E. Eskin, J. Weston et al. (2003) Mismatch string kernels for SVM protein classification. In Proc. NIPS, 1441-1448.
    • (2003) Proc. NIPS , pp. 1441-1448
    • Leslie, C.1    Eskin, E.2    Weston, J.3
  • 23
    • 0344376570 scopus 로고    scopus 로고
    • Finding composite regulatory patterns in DNA sequences
    • E. Eskin & P.A. Pevzner. (2002) Finding composite regulatory patterns in DNA sequences. Bioinformatics, 354-363.
    • (2002) Bioinformatics , pp. 354-363
    • Eskin, E.1    Pevzner, P.A.2
  • 24
    • 34047178859 scopus 로고    scopus 로고
    • Sequence motifs: Highly predictive features of protein function
    • A. Ben-Hur & D. Brutlag. (2006) Sequence motifs: highly predictive features of protein function. Feature Extraction, 625-645.
    • (2006) Feature Extraction , pp. 625-645
    • Ben-Hur, A.1    Brutlag, D.2
  • 25
    • 77955605527 scopus 로고    scopus 로고
    • Motif discovery in physiological datasets: A methodology for inferring predictive elements
    • Z. Syed, C. Stultz, M. Kellis et al. (2010) Motif discovery in physiological datasets: a methodology for inferring predictive elements. ACM Trans. Knowledge Discovery in Data, 1-23.
    • (2010) ACM Trans. Knowledge Discovery in Data , pp. 1-23
    • Syed, Z.1    Stultz, C.2    Kellis, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.