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Journal of Biomedicine and Biotechnology
Volume 2008, Article ID 218097, 7 pages
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.


We investigate the performance of different classification models and their ability to recognize prostate cancer in an early stage. We build ensembles of classification models in order to increase the classification performance. We measure the performance of our models in an extensive cross-validation procedure and compare different classification models. The datasets come from clinical examinations and some of the classification models are already in use to support the urologists in their clinical work.