메뉴 건너뛰기




Volumn 18, Issue 3, 2000, Pages 205-219

Generating concise and accurate classification rules for breast cancer diagnosis

Author keywords

Attribute selection; Data pre processing; Neural network rule extraction; Wisconsin breast cancer diagnosis

Indexed keywords

ALGORITHMS; NEURAL NETWORKS; ONCOLOGY;

EID: 0034159928     PISSN: 09333657     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0933-3657(99)00041-X     Document Type: Article
Times cited : (198)

References (21)
  • 1
    • 0029484103 scopus 로고    scopus 로고
    • Survey and critique of techniques for extracting rules from trained artificial neural networks
    • Andrews R., Diederich J., Tickle A. Survey and critique of techniques for extracting rules from trained artificial neural networks. Knowl. Based. Syst. 8(6):1999;373-389.
    • (1999) Knowl. Based. Syst. , vol.8 , Issue.6 , pp. 373-389
    • Andrews, R.1    Diederich, J.2    Tickle, A.3
  • 3
    • 0000254593 scopus 로고
    • Use of an artificial neural network for data analysis in clinical decision making
    • Baxt W. Use of an artificial neural network for data analysis in clinical decision making. Neural. Comput. 2:1990;480-489.
    • (1990) Neural. Comput. , vol.2 , pp. 480-489
    • Baxt, W.1
  • 6
    • 0027771374 scopus 로고
    • Multiple disorder diagnosis with adaptive competitive neural networks
    • Cho S., Reggia J.A. Multiple disorder diagnosis with adaptive competitive neural networks. Artif. Intell. Med. 5:1993;469-487.
    • (1993) Artif. Intell. Med. , vol.5 , pp. 469-487
    • Cho, S.1    Reggia, J.A.2
  • 7
    • 18544399463 scopus 로고    scopus 로고
    • Evolving artificial neural networks for screening features from mammograms
    • Fogel D.B., Wasson III E.C., Boughton E.M., Porto V.W. Evolving artificial neural networks for screening features from mammograms. Artif. Intell. Med. 14(3):1998;317.
    • (1998) Artif. Intell. Med. , vol.14 , Issue.3 , pp. 317
    • Fogel, D.B.1    Wasson III, E.C.2    Boughton, E.M.3    Porto, V.W.4
  • 12
    • 0032126086 scopus 로고    scopus 로고
    • Treatment of missing data values in a neural network based decision support system for acute abdominal pain
    • Pesonen E., Eskelinen M., Juhola M. Treatment of missing data values in a neural network based decision support system for acute abdominal pain. Artif. Intell. Med. 13(3):1998;139-146.
    • (1998) Artif. Intell. Med. , vol.13 , Issue.3 , pp. 139-146
    • Pesonen, E.1    Eskelinen, M.2    Juhola, M.3
  • 13
    • 0030109008 scopus 로고    scopus 로고
    • Symbolic representation of neural networks
    • March
    • Setiono R, Liu H. Symbolic representation of neural networks, Computer March 1996; 71-77.
    • (1996) Computer , pp. 71-77
    • Setiono, R.1    Liu, H.2
  • 14
    • 0030087643 scopus 로고    scopus 로고
    • Extracting rules from pruned neural networks for breast cancer diagnosis
    • Setiono R. Extracting rules from pruned neural networks for breast cancer diagnosis. Artif. Intell. Med. 8(1):1996;37-51.
    • (1996) Artif. Intell. Med. , vol.8 , Issue.1 , pp. 37-51
    • Setiono, R.1
  • 15
    • 0030633575 scopus 로고    scopus 로고
    • A penalty function approach for pruning feedforward neural networks
    • Setiono R. A penalty function approach for pruning feedforward neural networks. Neural Comput. 1:1997;185-204.
    • (1997) Neural Comput. , vol.1 , pp. 185-204
    • Setiono, R.1
  • 16
    • 0031189159 scopus 로고    scopus 로고
    • Feature selection via discretization of numeric attributes
    • Liu H., Setiono R. Feature selection via discretization of numeric attributes. IEEE. Trans. Knowl. Data. Eng. 4:1997;642-645.
    • (1997) IEEE. Trans. Knowl. Data. Eng. , vol.4 , pp. 642-645
    • Liu, H.1    Setiono, R.2
  • 17
    • 0032399390 scopus 로고    scopus 로고
    • Analysis of hidden representations by greedy clustering
    • Setiono R, Liu H. Analysis of hidden representations by greedy clustering, Connection Science 1998; 10(1): 21-42.
    • (1998) Connection Science , vol.10 , Issue.1 , pp. 21-42
    • Setiono, R.1    Liu, H.2
  • 18
    • 0003590592 scopus 로고    scopus 로고
    • Symbolic interpretation of artificial neural networks
    • the Tech. Report TR-97-01-106, University of Texas, Austin
    • Taha I, Gosh J. Symbolic interpretation of artificial neural networks, Tech. Report TR-97-01-106, the Computer and Vision Research Center, University of Texas, Austin, 1996.
    • (1996) Computer and Vision Research Center
    • Taha, I.1    Gosh, J.2
  • 19
    • 0008904182 scopus 로고    scopus 로고
    • Characterization of the Wisconsin breast cancer database using a hybrid symbolic-connectionist system
    • Tech. Report UT-CVISS-TR-97-007, University of Texas, Austin
    • Taha I, Gosh J. Characterization of the Wisconsin breast cancer database using a hybrid symbolic-connectionist system, Tech. Report UT-CVISS-TR-97-007, the Computer and Vision Research Center, University of Texas, Austin, 1996.
    • (1996) The Computer and Vision Research Center
    • Taha, I.1    Gosh, J.2
  • 20
    • 0032033309 scopus 로고    scopus 로고
    • Neural networks for recognizing patterns in cardiotocograms
    • Ulbricht C, Dorffner G, Lee A. Neural networks for recognizing patterns in cardiotocograms, Artif Intell Med 1998; 12(3): 271.
    • (1998) Artif Intell Med , vol.12 , Issue.3 , pp. 271
    • Ulbricht, C.1    Dorffner, G.2    Lee, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.