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Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 218097, 7 pages
http://dx.doi.org/10.1155/2008/218097
Research Article

Classification Models for Early Detection of Prostate Cancer

1Institute of Medical Informatics, Charité - Universitätsmedizin, Hindenburgdamm 30, 12200 Berlin, Germany
2Molecular Modelling Group, Institut für Molekulare Pharmakologie, Robert Rössle Straße 10, 13125 Berlin, Germany
3Department of Urology, Charité - Universitätsmedizin, Charitéplatz 1, 10098 Berlin, Germany

Received 12 September 2007; Accepted 2 January 2008

Academic Editor: Daniel Howard

Copyright © 2008 Joerg D. Wichard et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [10 citations]

The following is the list of published articles that have cited the current article.

  • Ismail Saritas, Ilker Ali Ozkan, and Ibrahim Unal Sert, “Prognosis of prostate cancer by artificial neural networks,” Expert Systems With Applications, vol. 37, no. 9, pp. 6646–6650, 2010. View at Publisher · View at Google Scholar
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  • P.Mohamed Shakeel, and Gunasekaran Manogaran, “Prostate cancer classification from prostate biomedical data using ant rough set algorithm with radial trained extreme learning neural network,” Health and Technology, 2018. View at Publisher · View at Google Scholar
  • Dolores Pérez-Marín, Cecilia Riccioli, and Ana Garrido-Varo, “Identifying animal species in NIR hyperspectral images of processed animal proteins (PAPs): Comparison of multivariate techniques,” Chemometrics and Intelligent Laboratory Systems, vol. 172, pp. 139–149, 2018. View at Publisher · View at Google Scholar