1. ANN as a prognostic tool after treatment of non-seminoma testicular cancer.
- Author
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Marszałł, Michał, Krysiński, Jerzy, Sroka, Wiktor, Nyczak, Zbigniew, Stefanowicz, Marek, Waśniewski, Tomasz, Romaszko, Jerzy, and Buciński, Adam
- Subjects
TESTICULAR cancer ,ARTIFICIAL neural networks ,SEMINOMA ,RARE diseases ,CANCER treatment ,CANCER prognosis ,COMPARATIVE studies ,MULTIVARIATE analysis - Abstract
Testicular cancer is rare but is the most common cancer in males between 15 and 34 years of age. Two principal types of testicular cancer are distinguished: seminomas and non-seminomas. If detected early, the overall cure rate for testicular cancer exceeds 90%. In this study, artificial neural network (ANN) analysis as a prognostic tool was demonstrated regard to five year recurrence after the non-seminoma treatment. Data from 202 patients treated for non-seminoma were available for evaluation and comparison. A total of 32 variables were analysed using the ANN. The ANN approach, as an advanced multivariate data processing method, was demon-strated to provide objective prognostic data. Some of these prognostic factors are consistent or even imperceptible with previously evaluated by other statistical methods. [ABSTRACT FROM AUTHOR]
- Published
- 2012
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