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Application of genetic programming techniques to medical diagnosis

Wybrane pełne teksty z tego czasopisma
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The computerization of scientific transactions and advances in data collection tools have contributed to obtain a large amount of clinical data online. Data Mining tools can find regularities, patterns and trends hidden in these data that will in turn assist the doctors when making decisions. In this paper we present a novel data mining technique, called Genetic Programming, and its application to diagnosis of breast cancer.
Rocznik
Strony
77--87
Opis fizyczny
Bibiogr. 13 poz.
Twórcy
autor
  • Departamento de Informatica, Escuela Superior, Universidad Carlos III de Madrid Avda. de la Universidad, 30, 28911, Leganes (Madrid) Spain
  • Campus de Montegancedo s/n. Facultad de Informâtica, Universidad Politécnica de Madrid 28660, Boadilla del Monte (Madrid) Spain
autor
  • Campus de Montegancedo s/n. Facultad de Informâtica, Universidad Politécnica de Madrid 28660, Boadilla del Monte (Madrid) Spain
Bibliografia
  • [1] Mangasarian O. L., Wolberg W. H.: Cancer diagnosis via linear programming. SIAM News. Vol. 23, Number 5 (September 1990) 1-18
  • [2] Wolberg W. H., Mangasarian O.L.: Multisurface method of pattern separation for medical diagnosis applied to breast cytology. In Proceedings of the National Academy of Sciences. Vol. 87, U.S.A. (December 1990) 9193-9196
  • [3] Mangasarian O. L., Setiono R., Wolberg W. H.: Pattern recognition via linear programming: Theory and application to medical diagnosis. In Large-scale numerical optimization, Coleman and Li editors. SIAM, Philadelphia (1990) 22-30
  • [4] Bennett К. P., Mangasarian O. L.: Robust linear programming discrimination of two linearly inseparable sets. Optimization Methods and Software 1 (1992) 23-34
  • [5] Koza J. R.: Genetic Programming: On the Programming of Computers by Means of Natural Selection. MIT Press (1992)
  • [6] Angeline P. J.: Genetic Programming and Emergent Intelligence. К. E. Kinnear, Jr., Editor Advances in Genetic Programming. MIT Press (1994)
  • [7] Banzhaf W., Nordin P., Keller R. E., Francone F. D.: Genetic Programming: An Introduction (1998)
  • [8] Quinlan J. R. C4.5: Programs for machine learning. Morgan Kaufmann, San Mateo, CA (1993)
  • [9] Rumelhart D. E., Hinton G. E.: Learning internal representations by error propagation. In Rumelhart, D. E. and McClelland, J. L., editors, Parallel Distributed Processing, vol. 1 MIT Press. Cambridge(1986) 318-362
  • [10] ftp://ftp.ics.uci.edu/pub/machine-leaming-databases/breast-cancer-wisconsin/
  • [11] Street W. N., Wolberg W. H., Mangasarian O. L.: Nuclear feature extraction for breast tumor diagnosis. In IS&T/SPIE 1993 International Symposium on Electronic Imaging: Science and Technology, volume 1905, pages 861-870, San Jose, California, 1993.
  • [12] Wolberg. W. H., Street W. N., Mangasarian O. L.: Breast cytology diagnosis via digital image analysis. Analytical and Quantitative Cytology and Histology, 15(6):396—404, December 1993.
  • [13] Wolberg W. H., Street W. N., Mangasarian O. L.: Machine learning techniques to diagnose breast cancer from imageprocessed nuclear features of fine needle aspirates. Cancer Letters, 77:163—171, 1994.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD7-0028-0014
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