메뉴 건너뛰기




Volumn 68, Issue 4, 2010, Pages 143-154

Using neural network as a screening and educational tool for abnormal glucose tolerance in the community

Author keywords

Abnormal Glucose Tolerance; Diabetes mellitus; Neural networks; Risk factors; Screening

Indexed keywords


EID: 79952405336     PISSN: 07787367     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (36)
  • 1
    • 51649116933 scopus 로고    scopus 로고
    • Approach to the patient with prediabetes
    • Aroda VR, Ratner R. Approach to the patient with prediabetes. J Clin Endocrinol Metab 2008; 93(9):3259-65
    • (2008) J Clin Endocrinol Metab , vol.93 , Issue.9 , pp. 3259-3265
    • Aroda, V.R.1    Ratner, R.2
  • 2
    • 34347208292 scopus 로고    scopus 로고
    • Diabetes prevalence, process of care and outcomes in relation to practice size, caseload and deprivation: national cross-sectional study in primary care
    • Millett C, Car J, Eldred D, Khunti K, Mainous AGIII, Majeed A. Diabetes prevalence, process of care and outcomes in relation to practice size, caseload and deprivation: national cross-sectional study in primary care. J R Soc Med 2007; 100(6):275-83
    • (2007) J R Soc Med , vol.100 , Issue.6 , pp. 275-283
    • Millett, C.1    Car, J.2    Eldred, D.3    Khunti, K.4    Mainous III, A.G.5    Majeed, A.6
  • 6
    • 34247570532 scopus 로고    scopus 로고
    • Clinical and cost-effectiveness of primary prevention of Type 2 diabetes in a 'real world' routine healthcare setting: model based on the KORA Survey 2000
    • Icks A, Rathmann W, Haastert B, Gandjour A, Holle R, John J. et al. Clinical and cost-effectiveness of primary prevention of Type 2 diabetes in a 'real world' routine healthcare setting: model based on the KORA Survey 2000. Diabet Med 2007; 24(5):473-80
    • (2007) Diabet Med , vol.24 , Issue.5 , pp. 473-480
    • Icks, A.1    Rathmann, W.2    Haastert, B.3    Gandjour, A.4    Holle, R.5    John, J.6
  • 8
    • 20444393501 scopus 로고    scopus 로고
    • Promoting targeted screening for Type 2 diabetes mellitus: the contribution of community pharmacists
    • Simoens S, Foulon E, Dethier M, Mathieu C, Laekeman G. Promoting targeted screening for Type 2 diabetes mellitus: the contribution of community pharmacists. Diabet Med 2005; 22(6):812-3
    • (2005) Diabet Med , vol.22 , Issue.6 , pp. 812-813
    • Simoens, S.1    Foulon, E.2    Dethier, M.3    Mathieu, C.4    Laekeman, G.5
  • 9
    • 79952375858 scopus 로고    scopus 로고
    • Guidelines for the detection of diabetes mellitus-diagnostic criteria and rationale for screening
    • Schneider H, Shaw J, Zimmet P. Guidelines for the detection of diabetes mellitus-diagnostic criteria and rationale for screening. Clin Biochem Rev 2003; 24(3):77-80
    • (2003) Clin Biochem Rev , vol.24 , Issue.3 , pp. 77-80
    • Schneider, H.1    Shaw, J.2    Zimmet, P.3
  • 10
    • 38949126980 scopus 로고    scopus 로고
    • What are artificial neural networks?
    • Krogh A. What are artificial neural networks? Nat Biotechnol 2008; 26(2):195-7
    • (2008) Nat Biotechnol , vol.26 , Issue.2 , pp. 195-197
    • Krogh, A.1
  • 11
    • 0142151170 scopus 로고    scopus 로고
    • Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer
    • Ji W, Naguib RN, Ghoneim MA. Neural network-based assessment of prognostic markers and outcome prediction in bilharziasis-associated bladder cancer. IEEE Trans Inf Technol Biomed 2003; 7(3):218-24
    • (2003) IEEE Trans Inf Technol Biomed , vol.7 , Issue.3 , pp. 218-224
    • Ji, W.1    Naguib, R.N.2    Ghoneim, M.A.3
  • 12
    • 39449138479 scopus 로고    scopus 로고
    • Artificial neural network-based classification to screen for dysphonia using psychoacoustic scaling of acoustic voice features
    • Linder R, Albers AE, Hess M, Poppl SJ, Schonweiler R. Artificial neural network-based classification to screen for dysphonia using psychoacoustic scaling of acoustic voice features. J Voice 2008; 22(2):155-63
    • (2008) J Voice , vol.22 , Issue.2 , pp. 155-163
    • Linder, R.1    Albers, A.E.2    Hess, M.3    Poppl, S.J.4    Schonweiler, R.5
  • 14
    • 33845502065 scopus 로고    scopus 로고
    • Identification of severe acute pancreatitis using an artificial neural network
    • Mofidi R, Duff MD, Madhavan KK, Garden OJ, Parks RW. Identification of severe acute pancreatitis using an artificial neural network. Surgery 2007; 141(1):59-66
    • (2007) Surgery , vol.141 , Issue.1 , pp. 59-66
    • Mofidi, R.1    Duff, M.D.2    Madhavan, K.K.3    Garden, O.J.4    Parks, R.W.5
  • 15
    • 0037454764 scopus 로고    scopus 로고
    • Prospective and randomised public-health trial on neural network-assisted screening for cervical cancer in Finland: results of the first year
    • Nieminen P, Hakama M, Viikki M, Tarkkanen J, Anttila A. Prospective and randomised public-health trial on neural network-assisted screening for cervical cancer in Finland: results of the first year. Int J Cancer 2003; 103(3):422-6
    • (2003) Int J Cancer , vol.103 , Issue.3 , pp. 422-426
    • Nieminen, P.1    Hakama, M.2    Viikki, M.3    Tarkkanen, J.4    Anttila, A.5
  • 16
    • 0032526110 scopus 로고    scopus 로고
    • Epidemiologic interpretation of artificial neural networks
    • Duh MS, Walker AM, Ayanian JZ. Epidemiologic interpretation of artificial neural networks. Am J Epidemiol 1998; 147(12):1112-22
    • (1998) Am J Epidemiol , vol.147 , Issue.12 , pp. 1112-1122
    • Duh, M.S.1    Walker, A.M.2    Ayanian, J.Z.3
  • 17
    • 0842268348 scopus 로고    scopus 로고
    • Screening for type 2 diabetes and impaired glucose metabolism: the Australian experience
    • Colagiuri S, Hussain Z, Zimmet P, Cameron A, Shaw J. Screening for type 2 diabetes and impaired glucose metabolism: the Australian experience. Diabetes Care 2004; 27(2):367-71
    • (2004) Diabetes Care , vol.27 , Issue.2 , pp. 367-371
    • Colagiuri, S.1    Hussain, Z.2    Zimmet, P.3    Cameron, A.4    Shaw, J.5
  • 18
    • 0033361044 scopus 로고    scopus 로고
    • Screening for impaired glucose tolerance. Results from a population-based study in 21,057 individuals
    • Lindahl B, Weinehall L, Asplund K, Hallmans G. Screening for impaired glucose tolerance. Results from a population-based study in 21,057 individuals. Diabetes Care 1999; 22(12):1988-92
    • (1999) Diabetes Care , vol.22 , Issue.12 , pp. 1988-1992
    • Lindahl, B.1    Weinehall, L.2    Asplund, K.3    Hallmans, G.4
  • 19
    • 0041668137 scopus 로고    scopus 로고
    • Age-and sex-specific prevalence of diabetes and impaired glucose regulation in 11 Asian cohorts
    • Qiao Q, Hu G, Tuomilehto J, Nakagami T, Balkau B, Borch-Johnsen K, et al. Age-and sex-specific prevalence of diabetes and impaired glucose regulation in 11 Asian cohorts. Diabetes Care 2003; 26(6):1770-80
    • (2003) Diabetes Care , vol.26 , Issue.6 , pp. 1770-1780
    • Qiao, Q.1    Hu, G.2    Tuomilehto, J.3    Nakagami, T.4    Balkau, B.5    Borch-Johnsen, K.6
  • 20
    • 0042168852 scopus 로고    scopus 로고
    • Detection of undiagnosed diabetes and other hyperglycemia states: the Atherosclerosis Risk in Communities Study
    • Schmidt MI, Duncan BB, Vigo A, Pankow J, Ballantyne CM, Couper D, et al. Detection of undiagnosed diabetes and other hyperglycemia states: the Atherosclerosis Risk in Communities Study. Diabetes Care 2003; 26(5):1338-43
    • (2003) Diabetes Care , vol.26 , Issue.5 , pp. 1338-1343
    • Schmidt, M.I.1    Duncan, B.B.2    Vigo, A.3    Pankow, J.4    Ballantyne, C.M.5    Couper, D.6
  • 21
    • 0042354826 scopus 로고    scopus 로고
    • Age-and sex-specific prevalences of diabetes and impaired glucose regulation in 13 European, cohorts
    • The DECODE Study Group
    • The DECODE Study Group. Age-and sex-specific prevalences of diabetes and impaired glucose regulation in 13 European cohorts. Diabetes Care 2003; 26(1):61-9
    • (2003) Diabetes Care , vol.26 , Issue.1 , pp. 61-69
  • 22
  • 24
    • 0026953356 scopus 로고
    • Feedback stabilization using two-hidden layer nets
    • Sontag ED. Feedback stabilization using two-hidden layer nets. IEEE Trans Neural Netw 1992; 3:981-90
    • (1992) IEEE Trans Neural Netw , vol.3 , pp. 981-990
    • Sontag, E.D.1
  • 26
    • 0028543366 scopus 로고
    • Training feedforward networks with the Marquardt algorithm
    • Hagan MT, Menhaj MB. Training feedforward networks with the Marquardt algorithm. IEEE Trans Neural Netw 1994; 5(6):989-93
    • (1994) IEEE Trans Neural Netw , vol.5 , Issue.6 , pp. 989-993
    • Hagan, M.T.1    Menhaj, M.B.2
  • 27
    • 0030297904 scopus 로고    scopus 로고
    • Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes
    • Tu JV. Advantages and disadvantages of using artificial neural networks versus logistic regression for predicting medical outcomes. J Clin Epidemiol 1996; 49(11):1225-31
    • (1996) J Clin Epidemiol , vol.49 , Issue.11 , pp. 1225-1231
    • Tu, J.V.1
  • 28
    • 0022470978 scopus 로고
    • ROC methodology in radiologic imaging
    • Metz CE. ROC methodology in radiologic imaging. Invest Radiol 1986; 21(9):720-33
    • (1986) Invest Radiol , vol.21 , Issue.9 , pp. 720-733
    • Metz, C.E.1
  • 29
    • 21244485773 scopus 로고    scopus 로고
    • The partial area under the summary ROC curve
    • Walter SD. The partial area under the summary ROC curve. Stat Med 2005; 24(13):2025-40
    • (2005) Stat Med , vol.24 , Issue.13 , pp. 2025-2040
    • Walter, S.D.1
  • 30
    • 0037088346 scopus 로고    scopus 로고
    • A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets
    • Zhang DD, Zhou XH, Freeman DH, Jr., Freeman JL. A non-parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets. Stat Med 2002; 21(5):701-15
    • (2002) Stat Med , vol.21 , Issue.5 , pp. 701-715
    • Zhang, D.D.1    Zhou, X.H.2    Freeman Jr., D.H.3    Freeman, J.L.4
  • 31
    • 79952413224 scopus 로고    scopus 로고
    • Risk Test Text Version. [2008 [cited 2008 Nov. 12]; Overweight & Obesity (BMI) [2008 [cited Nov. 12]
    • Risk Test Text Version. http://www diabetes org/risk-test/text-version jsp [2008 [cited 2008 Nov. 12]; Overweight & Obesity (BMI). http://appswhoint/bmi/indexjsp?introPage=intro_3 html [2008 [cited 2008 Nov. 12]
    • (2008)
  • 32
    • 0035999499 scopus 로고    scopus 로고
    • Diagnostic value of fasting capillary glucose, fructosamine and glycosylated haemoglobin in detecting diabetes and other glucose tolerance abnormalities compared to oral glucose tolerance test
    • Herdzik E, Safranow K, Ciechanowski K. Diagnostic value of fasting capillary glucose, fructosamine and glycosylated haemoglobin in detecting diabetes and other glucose tolerance abnormalities compared to oral glucose tolerance test. Acta Diabetol 2002; 39(1):15-22
    • (2002) Acta Diabetol , vol.39 , Issue.1 , pp. 15-22
    • Herdzik, E.1    Safranow, K.2    Ciechanowski, K.3
  • 33
    • 3843097329 scopus 로고    scopus 로고
    • Targeted screening for undiagnosed diabetes reduces the number of diagnostic tests Inter99(8)
    • Glumer C, Jorgensen T, Borch-Johnsen K. Targeted screening for undiagnosed diabetes reduces the number of diagnostic tests. Inter99(8). Diabet Med 2004; 21(8):874-80
    • (2004) Diabet Med , vol.21 , Issue.8 , pp. 874-880
    • Glumer, C.1    Jorgensen, T.2    Borch-Johnsen, K.3
  • 34
    • 0346734378 scopus 로고    scopus 로고
    • Fasting plasma glucose and glycated haemoglobin in the screening of diabetes and impaired glucose tolerance
    • Mannucci E, Ognibene A, Sposato I, Brogi M, Gallori G, Bardini G, et al. Fasting plasma glucose and glycated haemoglobin in the screening of diabetes and impaired glucose tolerance. Acta Diabetol 2003; 40(4):181-6
    • (2003) Acta Diabetol , vol.40 , Issue.4 , pp. 181-186
    • Mannucci, E.1    Ognibene, A.2    Sposato, I.3    Brogi, M.4    Gallori, G.5    Bardini, G.6
  • 35
    • 0025282108 scopus 로고
    • Accuracy of reported family history of diabetes mellitus Results from San Luis Valley Diabetes Study
    • Kahn LB, Marshall JA, Baxter J, Shetterly SM, Hamman RF. Accuracy of reported family history of diabetes mellitus. Results from San Luis Valley Diabetes Study. Diabetes Care 1990; 13(7):796-8
    • (1990) Diabetes Care , vol.13 , Issue.7 , pp. 796-798
    • Kahn, L.B.1    Marshall, J.A.2    Baxter, J.3    Shetterly, S.M.4    Hamman, R.F.5
  • 36
    • 0024503860 scopus 로고
    • Modeling and variable selection in epidemiologic analysis
    • Greenland S. Modeling and variable selection in epidemiologic analysis. Am J Public Health 1989; 79(3):340-9
    • (1989) Am J Public Health , vol.79 , Issue.3 , pp. 340-349
    • Greenland, S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.