메뉴 건너뛰기




Volumn 2008, Issue 1, 2008, Pages

Classification models for early detection of prostate cancer

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CANCER CLASSIFICATION; CANCER DIAGNOSIS; CLASSIFIER; CONTROLLED STUDY; DATA ANALYSIS SOFTWARE; DISCRIMINANT ANALYSIS; HUMAN; K NEAREST NEIGHBOR; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MATHEMATICAL MODEL; PERCEPTRON; PROSTATE CANCER; SUPPORT VECTOR MACHINE; BIOLOGICAL MODEL; CLASSIFICATION; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; DECISION SUPPORT SYSTEM; EVALUATION; MALE; METHODOLOGY; PROSTATE TUMOR; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 44449168662     PISSN: 11107243     EISSN: 11107251     Source Type: Journal    
DOI: 10.1155/2008/218097     Document Type: Article
Times cited : (11)

References (39)
  • 1
    • 0003964363 scopus 로고    scopus 로고
    • Atlanta, Ga, USA Department of Epidemiology and Surveillance Research, American Cancer Society
    • Jemal A., Siegel R., Ward E. M., Thun M. J., Cancer facts & figures 2006 Atlanta, Ga, USA Department of Epidemiology and Surveillance Research, American Cancer Society
    • (2006) Cancer Facts & Figures
    • Jemal, A.1    Siegel, R.2    Ward, E.M.3    Thun, M.J.4
  • 8
    • 0034239167 scopus 로고    scopus 로고
    • Fast nearest-neighbor searching for nonlinear signal processing
    • Merkwirth C., Parlitz U., Lauterborn W., Fast nearest-neighbor searching for nonlinear signal processing Physical Review E 2000 62 2 2089 2097
    • (2000) Physical Review e , vol.62 , Issue.2 , pp. 2089-2097
    • Merkwirth, C.1    Parlitz, U.2    Lauterborn, W.3
  • 10
    • 0036324792 scopus 로고    scopus 로고
    • Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies
    • Stephan C., Cammann H., Semjonow A., Multicenter evaluation of an artificial neural network to increase the prostate cancer detection rate and reduce unnecessary biopsies Clinical Chemistry 2002 48 8 1279 1287
    • (2002) Clinical Chemistry , vol.48 , Issue.8 , pp. 1279-1287
    • Stephan, C.1    Cammann, H.2    Semjonow, A.3
  • 22
    • 0001941003 scopus 로고
    • Comparing connectionist and symbolic learning methods
    • Cambridge, Mass, USA MIT Press
    • Quinlan J. R., Comparing connectionist and symbolic learning methods Computational Learning Theory and Natural Learning Systems 1994 1 Cambridge, Mass, USA MIT Press 445 456
    • (1994) Computational Learning Theory and Natural Learning Systems , vol.1 , pp. 445-456
    • Quinlan, J.R.1
  • 24
    • 0026692226 scopus 로고
    • Stacked generalization
    • Wolpert D. H., Stacked generalization Neural Networks 1992 5 241 259
    • (1992) Neural Networks , vol.5 , pp. 241-259
    • Wolpert, D.H.1
  • 25
    • 5444251228 scopus 로고    scopus 로고
    • Detecting correlation in stockmarkets
    • Wichard J. D., Merkwirth C., Ogorzałek M., Detecting correlation in stockmarkets Physica A 2004 344 1-2 308 311
    • (2004) Physica a , vol.344 , Issue.1-2 , pp. 308-311
    • Wichard, J.D.1    Merkwirth, C.2    Ogorzałek, M.3
  • 28
    • 84943274699 scopus 로고    scopus 로고
    • A direct adaptive method for faster backpropagation learning: The RPROP algorithm
    • March-April 1993 San Francisco, Calif, USA
    • Riedmiller M., Braun H., A direct adaptive method for faster backpropagation learning: the RPROP algorithm 1 Proceedings of the IEEE International Conference on Neural Networks March-April 1993 San Francisco, Calif, USA 586 591
    • Proceedings of the IEEE International Conference on Neural Networks , vol.1 , pp. 586-591
    • Riedmiller, M.1    Braun, H.2
  • 36
    • 0025898828 scopus 로고
    • Distribution-free confidence bounds for ROC curves
    • Hilgers R. A., Distribution-free confidence bounds for ROC curves Methods of Information in Medicine 1991 30 2 96 101
    • (1991) Methods of Information in Medicine , vol.30 , Issue.2 , pp. 96-101
    • Hilgers, R.A.1
  • 37
    • 18244432236 scopus 로고    scopus 로고
    • Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network
    • Finne P., Finne R., Auvinen A., Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network Urology 2000 56 3 418 422
    • (2000) Urology , vol.56 , Issue.3 , pp. 418-422
    • Finne, P.1    Finne, R.2    Auvinen, A.3
  • 38
    • 0042734859 scopus 로고    scopus 로고
    • An artificial neural network to predict the outcome of repeat prostate biopsies
    • Remzi M., Anagnostou T., Ravery V., An artificial neural network to predict the outcome of repeat prostate biopsies Urology 2003 62 3 456 460
    • (2003) Urology , vol.62 , Issue.3 , pp. 456-460
    • Remzi, M.1    Anagnostou, T.2    Ravery, V.3
  • 39
    • 0037405578 scopus 로고    scopus 로고
    • An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng./ml. or less
    • Zlotta A. R., Remzi M., Snow P. B., Schulman C. C., Marberger M., Djavan B., An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng./ml. or less Journal of Urology 2003 169 5 1724 1728
    • (2003) Journal of Urology , vol.169 , Issue.5 , pp. 1724-1728
    • Zlotta, A.R.1    Remzi, M.2    Snow, P.B.3    Schulman, C.C.4    Marberger, M.5    Djavan, B.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.