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Volumn 24, Issue 3, 2008, Pages 291-302

Modeling and analysis of disease and risk factors through learning Bayesian networks from observational data

Author keywords

Bayesian network; Case control study; Causal inference; Epidemiology

Indexed keywords

DATA REDUCTION; EPIDEMIOLOGY; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; RISK ANALYSIS; STATISTICAL METHODS;

EID: 42149084992     PISSN: 07488017     EISSN: 10991638     Source Type: Journal    
DOI: 10.1002/qre.893     Document Type: Article
Times cited : (15)

References (20)
  • 3
    • 33947691619 scopus 로고    scopus 로고
    • Knowledge discovery from observational data for process control using causal Bayesian networks
    • Li J, Shi J. Knowledge discovery from observational data for process control using causal Bayesian networks. IIE Transactions 2007; 39(6):681-690.
    • (2007) IIE Transactions , vol.39 , Issue.6 , pp. 681-690
    • Li, J.1    Shi, J.2
  • 6
    • 33645762514 scopus 로고    scopus 로고
    • The use of control charts in health-care and public-health surveillance
    • Woodall WH. The use of control charts in health-care and public-health surveillance. Journal of Quality Technology 2006; 38(2):89-104.
    • (2006) Journal of Quality Technology , vol.38 , Issue.2 , pp. 89-104
    • Woodall, W.H.1
  • 7
    • 34547849701 scopus 로고    scopus 로고
    • Attack-norm separation for detecting attack-induced quality problems on computers and networks
    • Ye N, Chen Q. Attack-norm separation for detecting attack-induced quality problems on computers and networks. Quality and Reliability Engineering International 2006; 23(5):545-553.
    • (2006) Quality and Reliability Engineering International , vol.23 , Issue.5 , pp. 545-553
    • Ye, N.1    Chen, Q.2
  • 9
    • 0030124955 scopus 로고    scopus 로고
    • A guide to the literature on learning probabilistic networks from data
    • Buntine W. A guide to the literature on learning probabilistic networks from data. IEEE Transactions on Knowledge and Data Engineering 1996; 8(2):195-210.
    • (1996) IEEE Transactions on Knowledge and Data Engineering , vol.8 , Issue.2 , pp. 195-210
    • Buntine, W.1
  • 11
    • 0033707946 scopus 로고    scopus 로고
    • Friedman N, Linial M, Nachman I, Pe'er D. Using Bayesian networks to analyze expression data. Journal of Computational Biology 2002; 7:601-620.
    • Friedman N, Linial M, Nachman I, Pe'er D. Using Bayesian networks to analyze expression data. Journal of Computational Biology 2002; 7:601-620.
  • 12
    • 1542548177 scopus 로고    scopus 로고
    • A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis
    • Borsuk ME, Stow CA, Reckhow KH. A Bayesian network of eutrophication models for synthesis, prediction, and uncertainty analysis. Ecological Modeling 2004; 173:219-239.
    • (2004) Ecological Modeling , vol.173 , pp. 219-239
    • Borsuk, M.E.1    Stow, C.A.2    Reckhow, K.H.3
  • 14
    • 26944437287 scopus 로고    scopus 로고
    • Applications of Bayesian networks in meteorology
    • Gámez JA et al, eds, Springer: New York
    • Gutiérrez JM, Cano R, Sordo CM. Applications of Bayesian networks in meteorology, Advances in Bayesian Networks, Gámez JA et al. (eds.). Springer: New York, 2004; 309-327.
    • (2004) Advances in Bayesian Networks , pp. 309-327
    • Gutiérrez, J.M.1    Cano, R.2    Sordo, C.M.3
  • 18
    • 58149210716 scopus 로고
    • The EM algorithm for graphical association models with missing data
    • Lauritzen SL. The EM algorithm for graphical association models with missing data. Computational Statistics and Data Analysis 1995; 19(2):191-201.
    • (1995) Computational Statistics and Data Analysis , vol.19 , Issue.2 , pp. 191-201
    • Lauritzen, S.L.1
  • 19
    • 0032273105 scopus 로고    scopus 로고
    • Learning probabilistic networks
    • Krause P. Learning probabilistic networks. The Knowledge Engineering Review 1998; 3(4):321-351.
    • (1998) The Knowledge Engineering Review , vol.3 , Issue.4 , pp. 321-351
    • Krause, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.