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Volumn 38, Issue , 2011, Pages 385-388

A computational model for heart failure stratification

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN CLASSIFIER; CARDIO-VASCULAR DISEASE; CLASSIFICATION MODELS; CLINICAL GUIDELINE; COMPUTATIONAL MODEL; EARLY DIAGNOSIS; HEART FAILURE; MODEL ASSESSMENT; MONTE CARLO SIMULATION; QUANTITATIVE TOOL; SUPPORT VECTOR MACHINE (SVM);

EID: 84859962561     PISSN: 23258861     EISSN: 2325887X     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (9)
  • 2
    • 34548184904 scopus 로고    scopus 로고
    • Clinical epidemiology of heart failure
    • DOI 10.1136/hrt.2003.025270
    • Mosterd A, Hoes AW. Clinical epidemiology of heart failure. Heart 2007; 93: 1137-46. (Pubitemid 47311002)
    • (2007) Heart , vol.93 , Issue.9 , pp. 1137-1146
    • Mosterd, A.1    Hoes, A.W.2
  • 4
    • 0037464751 scopus 로고    scopus 로고
    • Barriers to accurate diagnosis and effective management of heart failure in primary care: Qualitative study
    • Fuat A, Hungin APS, Murphy JJ. Barriers to accurate diagnosis and effective management of heart failure in primary care: qualitative study. BMJ 2003; 326(7382):196.
    • (2003) BMJ , vol.326 , Issue.7382 , pp. 196
    • Fuat, A.1    Hungin, A.P.S.2    Murphy, J.J.3
  • 5
    • 77649232390 scopus 로고    scopus 로고
    • Monte Carlo methods and techniques status and prospects for future evolution
    • Vaz P. Monte Carlo methods and techniques status and prospects for future evolution. Applied Radiation and Isotopes 2010; 68(4-5): 536-41.
    • (2010) Applied Radiation and Isotopes , vol.68 , Issue.4-5 , pp. 536-541
    • Vaz, P.1
  • 6
    • 33644754593 scopus 로고    scopus 로고
    • Misclassification rates for four methods of group classification: Impact of predictor distribution, covariance inequality, effect size, sample size, and group size ratio
    • DOI 10.1177/0013164405278579
    • Finch WH, Schneider MK. Misclassification rates for four methods of group classification: Impact of predictor distribution, covariance inequality, effect size, sample size, and group size ratio. Educational and Psychological Measurement 2006; 66(2): 240-57. (Pubitemid 43344141)
    • (2006) Educational and Psychological Measurement , vol.66 , Issue.2 , pp. 240-257
    • Finch, W.H.1    Schneider, M.K.2
  • 7
    • 31944452324 scopus 로고    scopus 로고
    • An introduction to ensemble methods for data analysis
    • DOI 10.1177/0049124105283119
    • Berk RA. An introduction to ensemble methods for data analysis. Sociological Methods & Research 2006; 34(3): 263-95. (Pubitemid 43189649)
    • (2006) Sociological Methods and Research , vol.34 , Issue.3 , pp. 263-295
    • Berk, R.A.1
  • 8
    • 36749047332 scopus 로고    scopus 로고
    • Supervised machine learning: A review of classification techniques
    • Kotsiantis SB. Supervised machine learning: A review of classification techniques. Informatica 2007; 31:249-68. (Pubitemid 350208045)
    • (2007) Informatica (Ljubljana) , vol.31 , Issue.3 , pp. 249-268
    • Kotsiantis, S.B.1
  • 9
    • 0642371012 scopus 로고    scopus 로고
    • B-type natriuretic peptide: A review of its diagnostic, prognostic, and therapeutic monitoring value in heart failure for primary care physicians
    • Cardarelli R, Lumicao TG. B-type natriuretic peptide: a review of its diagnostic, prognostic, and therapeutic monitoring value in heart failure for primary care physicians. J Am Board Fam Pract 2003; 16(4): 327-33.
    • (2003) J Am Board Fam Pract , vol.16 , Issue.4 , pp. 327-333
    • Cardarelli, R.1    Lumicao, T.G.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.