Artificial Intelligence Technique for Gene Expression Profiling of Urinary Bladder Cancer

The purpose of this study is to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial intelligence (AI) techniques which provide better predictions than standard traditional statistical methods. The predictive accuracies...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Abbod, M.F., Catto, J.W.F., Linkens, D.A., Wild, P.J., Herr, A., Wissmann, C., Pilarsky, C., Hartmann, A., Hamdy, F.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Artificial intelligence Artificial neural networks Bladder Bladder cancer Cancer Gene expression logistic regression Logistics neuro-fuzzy modelling Predictive models Standards development Statistical analysis Tumors
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