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Volumn 129, Issue , 2007, Pages 1219-1224

Predicting coronary artery disease with medical profile and gene polymorphisms data

Author keywords

Bayesian networks; Coronary artery disease; data mining; machine learning; single nucleotide polymorphisms

Indexed keywords

BAYESIAN NETWORKS; COMPUTER AIDED DIAGNOSIS; COST EFFECTIVENESS; DATA MINING; DECISION TREES; FORECASTING; LEARNING SYSTEMS; NEAREST NEIGHBOR SEARCH;

EID: 35748971527     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (12)

References (13)
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    • Coronary Artery Disease Overview, http://imaginis. com/ heart-disease/cad-ov. asp, accessed on February 19, 2005
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  • 2
    • 84859643460 scopus 로고    scopus 로고
    • accessed on November 25
    • Coronary Artery Disease, http://www. nhlbi. nih. gov/health/ dci/Diseases/Cad/CAD-All. html, accessed on November 25, 2006
    • (2006) Coronary Artery Disease
  • 4
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    • Use of neural networks in predicting the risk of coronary artery disease
    • Lapuerta P, Azen SP, LaBree L. Use of neural networks in predicting the risk of coronary artery disease. Computers and Biomedical Research 1995;28(1):38-52
    • (1995) Computers and Biomedical Research , vol.28 , Issue.1 , pp. 38-52
    • Lapuerta, P.1    Azen, S.P.2    Labree, L.3
  • 6
    • 4444360157 scopus 로고    scopus 로고
    • Predicting risk of coronary artery disease from dna microarray-based genotyping using neural networks and other statistical analysis tool
    • Tham CK, Heng CK, Chin WC. Predicting Risk of Coronary Artery Disease from DNA Microarray-Based Genotyping Using Neural Networks and Other Statistical Analysis Tool. Journal of Bioinformatics and Computational Biology 2003;1(3):521-39
    • (2003) Journal of Bioinformatics and Computational Biology , vol.1 , Issue.3 , pp. 521-539
    • Tham, C.K.1    Heng, C.K.2    Chin, W.C.3
  • 7
    • 34249832377 scopus 로고
    • A Bayesian method for the induction of probabilistic networks from data
    • Cooper GF, Herskovits E. A Bayesian method for the induction of probabilistic networks from data. Machine Learning 1992;9:309-47
    • (1992) Machine Learning , vol.9 , pp. 309-347
    • Cooper, G.F.1    Herskovits, E.2
  • 8
    • 0002370418 scopus 로고    scopus 로고
    • A Tutorial on Learning with Bayesian Networks
    • In: Jordan M, editor. Cambridge, MA: MIT Press
    • Heckerman D. A Tutorial on Learning with Bayesian Networks. In: Jordan M, editor. Learning in Graphical Models. Cambridge, MA: MIT Press; 1998. pp. 301-354
    • (1998) Learning in Graphical Models , pp. 301-354
    • Heckerman, D.1
  • 9
    • 34249761849 scopus 로고
    • Learning Bayesian networks: The combination of knowledge and statistical data
    • Heckerman D, Geiger D, Chickering DM. Learning Bayesian networks: The combination of knowledge and statistical data. Machine Learning 1995;20:197-243
    • (1995) Machine Learning , vol.20 , pp. 197-243
    • Heckerman, D.1    Geiger, D.2    Chickering, D.M.3
  • 10
    • 0000120766 scopus 로고
    • Estimating the dimension of a model
    • Schwarz G. Estimating the dimension of a model. The Annals of Statistics 1978;6:461-64
    • (1978) The Annals of Statistics , vol.6 , pp. 461-464
    • Schwarz, G.1
  • 12
    • 0038234823 scopus 로고    scopus 로고
    • ABCA1 gene polymorphisms and their associations with coronary artery disease and plasma lipids in males from three ethnic populations in Singapore
    • Tan JH-H, Low P-S, Tan Y-S, Tong M-C, Saha N, Yang H, et al. ABCA1 gene polymorphisms and their associations with coronary artery disease and plasma lipids in males from three ethnic populations in Singapore. Human Genetics 2003;113(2):106-17
    • (2003) Human Genetics , vol.113 , Issue.2 , pp. 106-117
    • Jh-H, T.1    Low, P.-S.2    Tan, Y.-S.3    Tong, M.-C.4    Saha, N.5    Yang, H.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.