Artificial Intelligence techniques for the prediction of bladder cancer progression

ESANN 2005 Proceedings - 13th European Symposium on Artificial Neural Networks

Volumn , Issue , 2007, Pages 109-114

  Abbod, M F ^a   Catto, J W F ^b   Chen, M ^a   Linkens, D A ^a   Hamdy, F C ^b  

^a Department of Automatic Control and Systems Engineering ^*  (United Kingdom)

^b UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE TECHNIQUES; BLADDER CANCERS; GENE METHYLATION; LOGISTIC REGRESSIONS; MOLECULAR BIOMARKER; NEURO-FUZZY MODELLING; PREDICTIVE ACCURACY; TUMOUR PROGRESSION;

ALKYLATION; DISEASES; GENE EXPRESSION; NEURAL NETWORKS; STATISTICAL METHODS; TUMORS;

FORECASTING;

EID: 84886993952     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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