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Volumn 3275, Issue , 2004, Pages 153-162

Feature selection and classification model construction on Type 2 diabetic patient's data

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; DISEASE CONTROL; FEATURE EXTRACTION; HEALTH RISKS; MATHEMATICAL MODELS; METABOLISM;

EID: 22944489890     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-30185-1_17     Document Type: Conference Paper
Times cited : (15)

References (24)
  • 1
    • 22944491072 scopus 로고    scopus 로고
    • Diamond, HICOM Technology, (2002) http://www.hicom.co.uk/news.asp?NewsID= 8
    • (2002)
  • 3
    • 0003191727 scopus 로고    scopus 로고
    • Medical guidelines for the management of diabetes mellitus
    • American Association, Medical Guidelines for the Management of Diabetes Mellitus. Endocrine Practice. Vol.8 (Suppl.1) (2002) 40-82.
    • (2002) Endocrine Practice , vol.8 , Issue.SUPPL. 1 , pp. 40-82
  • 4
    • 0027370108 scopus 로고
    • The effect of intensive treat ment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus
    • Diabetes Control and Complications Trial Research Group: The effect of intensive treat ment of diabetes on the development and progression of long-term complications in insulin-dependent diabetes mellitus. N Engl J Med.329 (1993) 977-986.
    • (1993) N Engl J Med. , vol.329 , pp. 977-986
  • 5
    • 0032511583 scopus 로고    scopus 로고
    • Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes
    • UKPDS. Intensive blood-glucose control with sulphonylureas or insulin compared with conventional treatment and risk of complications in patients with type 2 diabetes. Lancet. 352 (1998) 837-853.
    • (1998) Lancet , vol.352 , pp. 837-853
  • 6
    • 0032511566 scopus 로고    scopus 로고
    • Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes
    • UKPDS. Effect of intensive blood-glucose control with metformin on complications in overweight patients with type 2 diabetes. Lancet. 352 (1998) 854-865.
    • (1998) Lancet , vol.352 , pp. 854-865
  • 7
    • 22944481731 scopus 로고    scopus 로고
    • American Diabetes Association, About us - American Diabetes Association, (2004), http://www.diabetes.org/aboutus.jsp?WTLPromo=HEADER_aboutus&vms= 142585600057
    • (2004)
  • 8
    • 0034641568 scopus 로고    scopus 로고
    • Association of glycaemia with macrovascular and microvascular complications of Type 2 diabetes
    • Strattpm IM, Adler AI, Neil HAW., Association of Glycaemia with Macrovascular and Microvascular complications of Type 2 Diabetes., Br Med J. (2000); 321: pp.405-412.
    • (2000) Br Med J. , vol.321 , pp. 405-412
    • Strattpm, I.M.1    Adler, A.I.2    Neil, H.A.W.3
  • 9
    • 0032895111 scopus 로고    scopus 로고
    • Selected techniques for data mining in medicine
    • Lavrac N. Selected Techniques for Data Mining in Medicine, AI Med. (2002 May), 16(1), 3-23
    • (2002) AI Med. , vol.16 , Issue.1 , pp. 3-23
    • Lavrac, N.1
  • 10
    • 0036753856 scopus 로고    scopus 로고
    • Data mining a diabetic data warehouse
    • Sep
    • 10.Breault J, Goodall C, Fos P. Data mining a diabetic data warehouse, Artif Intell Med. (2002) Sep;26(1-2):37.
    • (2002) Artif Intell Med. , vol.26 , Issue.1-2 , pp. 37
    • Breault, J.1    Goodall, C.2    Fos, P.3
  • 11
    • 0036559582 scopus 로고    scopus 로고
    • Novel statistical classification model of Type 2 diabetes mellitus patients for trailor-made prevention using data mining algorithm
    • May
    • Miyaki K, Takei I, Watanabe K, Nakashima H, Watanabe K, Omae K.Novel statistical classification model of Type 2 diabetes mellitus patients for trailor-made prevention using data mining algorithm, J Epidemiol (2002 May);12(3):243-8
    • (2002) J Epidemiol , vol.12 , Issue.3 , pp. 243-248
    • Miyaki, K.1    Takei, I.2    Watanabe, K.3    Nakashima, H.4    Watanabe, K.5    Omae, K.6
  • 13
    • 0036482285 scopus 로고    scopus 로고
    • Defining the relationship between plasma glucose and HbA1c, analysis of glucose profiles and HbA1c in the diabetes control and complications trial
    • Rohlfmg C.L., Wiedmeyer H.M, Little R.R, Jack D.E., Tennill A., Goldstein D.E., Defining the Relationship between Plasma Glucose and HbA1c, Analysis of glucose profiles and HbA1c in the Diabetes Control and Complications Trial. Diabetes Care 25: (2002). 275-278
    • (2002) Diabetes Care , vol.25 , pp. 275-278
    • Rohlfmg, C.L.1    Wiedmeyer, H.M.2    Little, R.R.3    Jack, D.E.4    Tennill, A.5    Goldstein, D.E.6
  • 14
    • 0034997351 scopus 로고    scopus 로고
    • Mining for indicators of early mortality in a database of clinical records
    • Jun
    • Richards G, Rayward-Smith VJ, Sonksen PH, Carey S, Weng C. Mining for indicators of early mortality in a database of clinical records. Artif Intell Med. (2001) Jun; 22(3):215-31.
    • (2001) Artif Intell Med. , vol.22 , Issue.3 , pp. 215-231
    • Richards, G.1    Rayward-Smith, V.J.2    Sonksen, P.H.3    Carey, S.4    Weng, C.5
  • 16
    • 22944447352 scopus 로고    scopus 로고
    • Mar
    • Diabetes UK, Diabetes in Northern Ireland, (2004 Mar), http://www.diabetes.org.uk/n.ireland/nireland.htm
    • (2004)
  • 18
    • 0242410408 scopus 로고    scopus 로고
    • Benchmarking attribute selection techniques for discrete class data mining
    • IEEE
    • Hall M.A., Holmes G., Benchmarking Attribute Selection Techniques for Discrete Class Data Mining, IEEE Transactions on Knowledge and Data Engineering, IEEE, Vol. 15, No. 3, 2003, pp. 1437-1447
    • (2003) IEEE Transactions on Knowledge and Data Engineering , vol.15 , Issue.3 , pp. 1437-1447
    • Hall, M.A.1    Holmes, G.2
  • 19
    • 0034885327 scopus 로고    scopus 로고
    • Feature mining and predictive model construction from severe trauma patient's data
    • Elsevier Science
    • Demsar J., Zupan B., Aoki N., Wall M.J., Granchi T.H., Beck J.R., Feature Mining and Predictive Model Construction from Severe Trauma Patient's Data, Int J Med Inf, Elsevier Science, 63, (2001). 41-50.
    • (2001) Int J Med Inf , vol.63 , pp. 41-50
    • Demsar, J.1    Zupan, B.2    Aoki, N.3    Wall, M.J.4    Granchi, T.H.5    Beck, J.R.6
  • 21
    • 0242385673 scopus 로고    scopus 로고
    • Improving the accuracy of decision tree induction by feature pre-selection
    • Perner, P. Improving the Accuracy of Decision Tree Induction by Feature Pre-Selection, Applied Artificial Intelligence, Vol. 15, No. 8, (2001) 747-760
    • (2001) Applied Artificial Intelligence , vol.15 , Issue.8 , pp. 747-760
    • Perner, P.1
  • 23
    • 84952090984 scopus 로고
    • Theoretical analysis of cross-validation error and voting in instance-based learning
    • 23.Turney P. Theoretical Analysis of Cross-Validation Error and Voting in Instance-Based Learning, J Experimental and Theoretical Artificial Intelligence, 6, (1994) 361-391
    • (1994) J Experimental and Theoretical Artificial Intelligence , vol.6 , pp. 361-391
    • Turney, P.1
  • 24
    • 0034566844 scopus 로고    scopus 로고
    • Models to predict cardiovascular risk: Comparison of CART, Multilayer perceptron and logistic regression
    • Colombet I, Ruelland A, Chatellier G, et al., Models to predict cardiovascular risk: comparison of CART, Multilayer perceptron and logistic regression, Proc AMIA Symp, (2000) 156-160
    • (2000) Proc AMIA Symp , pp. 156-160
    • Colombet, I.1    Ruelland, A.2    Chatellier, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.