메뉴 건너뛰기




Volumn 56, Issue 5, 2007, Pages 451-457

Support vector machines classification for discriminating coronary heart disease patients from non-coronary heart disease

Author keywords

[No Author keywords available]

Indexed keywords

CALCIUM; CHOLESTEROL; GLUCOSE; HIGH DENSITY LIPOPROTEIN CHOLESTEROL; LOW DENSITY LIPOPROTEIN CHOLESTEROL; PHOSPHORUS; TRIACYLGLYCEROL;

EID: 38949192669     PISSN: 00433144     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (34)

References (43)
  • 1
    • 0034716468 scopus 로고    scopus 로고
    • Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations
    • Kuulasmaa K, Tunstall-Pedoe H, Dobson A, Fortmann S, Sans S, Tolonen H et al. Estimation of contribution of changes in classic risk factors to trends in coronary-event rates across the WHO MONICA Project populations. Lancet 2000; 355: 668-9.
    • (2000) Lancet , vol.355 , pp. 668-669
    • Kuulasmaa, K.1    Tunstall-Pedoe, H.2    Dobson, A.3    Fortmann, S.4    Sans, S.5    Tolonen, H.6
  • 3
    • 0006745295 scopus 로고
    • Prevention der klassischen Risikofaktoren.
    • Keil U. Prevention der klassischen Risikofaktoren. Drug Res 1990; 40: 1-7.
    • (1990) Drug Res , vol.40 , pp. 1-7
    • Keil, U.1
  • 4
    • 0014976138 scopus 로고
    • Serum cholesterol, lipoproteins, and the risk of coronary heart disease. The Framingham study
    • Kannel WB, Castelli WP, Gordon T, McNamara PM. Serum cholesterol, lipoproteins, and the risk of coronary heart disease. The Framingham study. Ann Intern Med 1971; 74: 1-12.
    • (1971) Ann Intern Med , vol.74 , pp. 1-12
    • Kannel, W.B.1    Castelli, W.P.2    Gordon, T.3    McNamara, P.M.4
  • 5
    • 0023025526 scopus 로고
    • Is relationship between serum cholesterol and risk of premature death from coronary heart disease continuous and graded? Findings in 356,222 primary screenees of the Multiple Risk Factor Intervention Trial (MRFIT)
    • Stamler J, Wentworth D. Neaton JD. Is relationship between serum cholesterol and risk of premature death from coronary heart disease continuous and graded? Findings in 356,222 primary screenees of the Multiple Risk Factor Intervention Trial (MRFIT). JAMA 1986; 256: 2823-8.
    • (1986) JAMA , vol.256 , pp. 2823-2828
    • Stamler, J.1    Wentworth, D.2    Neaton, J.D.3
  • 6
    • 0028181736 scopus 로고
    • Systematic under-estimation of association between serum cholesterol concentration and ischaemic heart disease in observational studies: Data from the BUPA study
    • Law MR, Wald NJ, Wu T, Hackshaw A, Bailey A. Systematic under-estimation of association between serum cholesterol concentration and ischaemic heart disease in observational studies: data from the BUPA study. BMJ 1994; 308: 363-6.
    • (1994) BMJ , vol.308 , pp. 363-366
    • Law, M.R.1    Wald, N.J.2    Wu, T.3    Hackshaw, A.4    Bailey, A.5
  • 7
    • 0032081421 scopus 로고    scopus 로고
    • The management of hypercholesterolemia in patients with coronary artery disease: Guidelines for primary care
    • Vogel RA. The management of hypercholesterolemia in patients with coronary artery disease: guidelines for primary care. Clin Cornerstone 1998; 1: 51-64.
    • (1998) Clin Cornerstone , vol.1 , pp. 51-64
    • Vogel, R.A.1
  • 8
    • 0032511583 scopus 로고    scopus 로고
    • (UKPDS) Intensive blood glucose control with sulphonylureas or insulin compared with conventional treatment and the risk of complications in patients with type 2 diabetes (UKPDS 33)
    • UK Prospective Diabetes Study Group
    • UK Prospective Diabetes Study Group. (UKPDS) Intensive blood glucose control with sulphonylureas or insulin compared with conventional treatment and the risk of complications in patients with type 2 diabetes (UKPDS 33). Lancet 1998; 352: 832-3.
    • (1998) Lancet , vol.352 , pp. 832-833
  • 9
    • 0027406191 scopus 로고
    • Diabetes, other risk factors, and 12-year cardiovascular mortality for men screened in the multiple risk factor intervention trial
    • Stamler J, Vaccaro O, Neaton JD, Wentworth D. Diabetes, other risk factors, and 12-year cardiovascular mortality for men screened in the multiple risk factor intervention trial. Diabetes Care 1993; 16: 434-44.
    • (1993) Diabetes Care , vol.16 , pp. 434-444
    • Stamler, J.1    Vaccaro, O.2    Neaton, J.D.3    Wentworth, D.4
  • 10
    • 0018764335 scopus 로고
    • Diabetes and cardiovascular disease. The Framingham study
    • Kannel W, McGee DL. Diabetes and cardiovascular disease. The Framingham study. JAMA 1979; 241: 2035-8.
    • (1979) JAMA , vol.241 , pp. 2035-2038
    • Kannel, W.1    McGee, D.L.2
  • 11
    • 0020617492 scopus 로고
    • Mortality from coronary heart disease and stroke in relation to degree of glycaemia: The Whitehall study
    • Fuller JH, Shipley MJ, Rose G, Jarrett RJ, Keen H. Mortality from coronary heart disease and stroke in relation to degree of glycaemia: the Whitehall study. BMJ 1983; 287: 867-70.
    • (1983) BMJ , vol.287 , pp. 867-870
    • Fuller, J.H.1    Shipley, M.J.2    Rose, G.3    Jarrett, R.J.4    Keen, H.5
  • 15
    • 0003425664 scopus 로고    scopus 로고
    • Support vector machines for classification and regression
    • Gunn, Image Speech & Intelligent Systems Group, University of Southampton
    • Gunn. "Support vector machines for classification and regression", ISIS technical report, Image Speech & Intelligent Systems Group, University of Southampton, 1997.
    • (1997) ISIS technical report
  • 18
    • 10044235707 scopus 로고    scopus 로고
    • Diagnosing anorexia based on partial least squares, back propagation neural network, and support vector machines
    • Zhao CY, Zhang RS, Liu HX, Xue CX, Zhao SG, Zhou XF et al. Diagnosing anorexia based on partial least squares, back propagation neural network, and support vector machines. J Chem Inf Comput Sci 2004; 44: 2040-6.
    • (2004) J Chem Inf Comput Sci , vol.44 , pp. 2040-2046
    • Zhao, C.Y.1    Zhang, R.S.2    Liu, H.X.3    Xue, C.X.4    Zhao, S.G.5    Zhou, X.F.6
  • 19
    • 4444360157 scopus 로고    scopus 로고
    • Predicting risk of artery disease from DNA microarray-based genotyping neural networks and other statistical analysis tools
    • Tham CK, Heng CK, Chin WC. Predicting risk of artery disease from DNA microarray-based genotyping neural networks and other statistical analysis tools. J Bioform Comput Biol 2003; 1: 521-39
    • (2003) J Bioform Comput Biol , vol.1 , pp. 521-539
    • Tham, C.K.1    Heng, C.K.2    Chin, W.C.3
  • 21
    • 0035014847 scopus 로고    scopus 로고
    • Multi-class protein fold recognition using support vector machines and neural networks
    • Ding CH, Dubchak I. Multi-class protein fold recognition using support vector machines and neural networks. Bioinformatics 2001; 17: 349-35.
    • (2001) Bioinformatics , vol.17 , pp. 349-435
    • Ding, C.H.1    Dubchak, I.2
  • 22
    • 0033670134 scopus 로고    scopus 로고
    • Engineering support vector machine kernels that recognize translation initiation sites
    • Zien A, Ratsch G., Mika S, Scholkopg B, Lengauer T, Muller KR. Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics 2000; 16: 799-807.
    • (2000) Bioinformatics , vol.16 , pp. 799-807
    • Zien, A.1    Ratsch, G.2    Mika, S.3    Scholkopg, B.4    Lengauer, T.5    Muller, K.R.6
  • 23
    • 0036086337 scopus 로고    scopus 로고
    • Support vector machines with selective kernel scaling for protein classification and identification of key amino acid positions
    • Zavalijevski N, Stevens FJ, Reifman J. Support vector machines with selective kernel scaling for protein classification and identification of key amino acid positions. Bioinformatics 2002; 18: 689-96.
    • (2002) Bioinformatics , vol.18 , pp. 689-696
    • Zavalijevski, N.1    Stevens, F.J.2    Reifman, J.3
  • 24
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon I, Weston J, Barnhill S, Vapnik V. Gene selection for cancer classification using support vector machines. Mach Learn 2002; 46: 389-422.
    • (2002) Mach Learn , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 25
    • 0035957531 scopus 로고    scopus 로고
    • A novel method of protein secondary structure prediction with segment overlap measure, support vector machine approach
    • Hua S, Su Z. A novel method of protein secondary structure prediction with segment overlap measure, support vector machine approach. J Mol Biol 2001; 308: 397-407.
    • (2001) J Mol Biol , vol.308 , pp. 397-407
    • Hua, S.1    Su, Z.2
  • 27
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges CJC. A tutorial on support vector machines for pattern recognition. Data Mining Knowledge Discovery 1998; 2: 121-67.
    • (1998) Data Mining Knowledge Discovery , vol.2 , pp. 121-167
    • Burges, C.J.C.1
  • 29
    • 0345688978 scopus 로고    scopus 로고
    • Determination of the spread parameter in the Gaussian kernel for classification and regression
    • Wang Wi, Xu ZB, Lu WZ, Zhang XY. Determination of the spread parameter in the Gaussian kernel for classification and regression. Neurocomputing 2003; 55: 643-63.
    • (2003) Neurocomputing , vol.55 , pp. 643-663
    • Wang, W.1    Xu, Z.B.2    Lu, W.Z.3    Zhang, X.Y.4
  • 31
    • 0023220416 scopus 로고
    • Lipoprotein metabolism in diabetes mellitus
    • Howard BV. Lipoprotein metabolism in diabetes mellitus. J Lipid Res 1987; 28: 613-28.
    • (1987) J Lipid Res , vol.28 , pp. 613-628
    • Howard, B.V.1
  • 32
    • 0027449402 scopus 로고
    • Lipids and lipoproteins predicting coronary heart disease mortality and morbidity in patients with non-insulin-dependent diabetes
    • Laakso M, Lehto S, Pentila I, Pyorala K. Lipids and lipoproteins predicting coronary heart disease mortality and morbidity in patients with non-insulin-dependent diabetes. Circulation 1993; 88: 1421-30.
    • (1993) Circulation , vol.88 , pp. 1421-1430
    • Laakso, M.1    Lehto, S.2    Pentila, I.3    Pyorala, K.4
  • 33
    • 0025847053 scopus 로고
    • Are conventional risk factors for mortality relevant in type 2 diabetes?
    • Fitzgerald AP, Jarrett RJ. Are conventional risk factors for mortality relevant in type 2 diabetes? Diabet Med 1991; 8: 475-80.
    • (1991) Diabet Med , vol.8 , pp. 475-480
    • Fitzgerald, A.P.1    Jarrett, R.J.2
  • 34
    • 0033905320 scopus 로고    scopus 로고
    • Current, new and future treatments in dyslipidaemia and atherosclerosis
    • Chong PH, Bachenheimer BS. Current, new and future treatments in dyslipidaemia and atherosclerosis. Drugs 2000; 60: 55-93.
    • (2000) Drugs , vol.60 , pp. 55-93
    • Chong, P.H.1    Bachenheimer, B.S.2
  • 36
  • 37
    • 0023880042 scopus 로고
    • High density lipoprotein cholesterol, total cholesterol screening, and myocardial infarction. The Framingham Study
    • Abbott RD, Wilson PW, Kannel WB, Castelli WP. High density lipoprotein cholesterol, total cholesterol screening, and myocardial infarction. The Framingham Study. Arteriosclerosis 1988; 8: 207-11.
    • (1988) Arteriosclerosis , vol.8 , pp. 207-211
    • Abbott, R.D.1    Wilson, P.W.2    Kannel, W.B.3    Castelli, W.P.4
  • 38
    • 0034656345 scopus 로고    scopus 로고
    • ABC of arterial and venous disease: Vascular complications of diabetes
    • Donnelly R, Emslie-Smith AM, Gardner ID, Morris AD. ABC of arterial and venous disease: Vascular complications of diabetes. BMJ 2000; 320:1062-6.
    • (2000) BMJ , vol.320 , pp. 1062-1066
    • Donnelly, R.1    Emslie-Smith, A.M.2    Gardner, I.D.3    Morris, A.D.4
  • 39
    • 0035191701 scopus 로고    scopus 로고
    • Effects of atorvastatin versus fenofibrate on lipoprotein profiles, low-density lipoprotein subfraction distribution, and hemorheologic parameters in type 2 diabetes mellitus with mixed hyperlipoproteinemia
    • Frost RJA, Otto C, Geiss HC, Schwandt P, Parhofer KG. Effects of atorvastatin versus fenofibrate on lipoprotein profiles, low-density lipoprotein subfraction distribution, and hemorheologic parameters in type 2 diabetes mellitus with mixed hyperlipoproteinemia. Am J Cardiol 2001; 87: 44-8.
    • (2001) Am J Cardiol , vol.87 , pp. 44-48
    • Frost, R.J.A.1    Otto, C.2    Geiss, H.C.3    Schwandt, P.4    Parhofer, K.G.5
  • 40
    • 0029884921 scopus 로고    scopus 로고
    • Hypertriglyceridemia and elevated lipoprotein(a) are risk factors for major coronary events in middle-aged men
    • Assmann G, Schulte H, Von Eckardstein A. Hypertriglyceridemia and elevated lipoprotein(a) are risk factors for major coronary events in middle-aged men. Am J Cardiol 1996; 77: 1179-84.
    • (1996) Am J Cardiol , vol.77 , pp. 1179-1184
    • Assmann, G.1    Schulte, H.2    Von Eckardstein, A.3
  • 41
    • 0035825927 scopus 로고    scopus 로고
    • Pro and con: High-density lipoprotein, triglycerides, and other lipid subfractions are the future of lipid management
    • Assmann G. Pro and con: High-density lipoprotein, triglycerides, and other lipid subfractions are the future of lipid management. Am J Cardiol 2001; 87: (Suppl) 2B-7B.
    • (2001) Am J Cardiol , vol.87 , Issue.SUPPL.
    • Assmann, G.1
  • 42
    • 0032560807 scopus 로고    scopus 로고
    • Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction
    • Haffner SM, Lehto S, Ronnemaa T, Pyörälä K, Laakso M. Mortality from coronary heart disease in subjects with type 2 diabetes and in nondiabetic subjects with and without prior myocardial infarction. N Engl J Med 1998; 339: 229-34.
    • (1998) N Engl J Med , vol.339 , pp. 229-234
    • Haffner, S.M.1    Lehto, S.2    Ronnemaa, T.3    Pyörälä, K.4    Laakso, M.5
  • 43
    • 0035405575 scopus 로고    scopus 로고
    • Diabetes-induced accelerated atherosclerosis in swine
    • Gerrity RG, Natarajan R, Nadler JL, Kimsey T. Diabetes-induced accelerated atherosclerosis in swine. Diabetes 2001; 50: 1654-65.
    • (2001) Diabetes , vol.50 , pp. 1654-1665
    • Gerrity, R.G.1    Natarajan, R.2    Nadler, J.L.3    Kimsey, T.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.