2012 | OriginalPaper | Buchkapitel
Neural Networks Based System for Cancer Diagnosis Support
verfasst von : Witold Jacak, Karin Pröll
Erschienen in: Computer Aided Systems Theory – EUROCAST 2011
Verlag: Springer Berlin Heidelberg
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The paper presents the analysis of two different approaches for a system to support cancer diagnosis. The first one uses only tumor marker data containig missing values to predict cancer occurrence and the second one also includes standard blood parameters. Both systems are based on several heterogeneous artificial neural networks for estimating missing values of tumor markers and they finally caluculate possibilities of different tumor diseases.