Artificial intelligence for the prediction bladder cancer

Biomedical Engineering - Applications, Basis and Communications

Volumn 16, Issue 2, 2004, Pages 49-58

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

^a UNIVERSITY OF SHEFFIELD   (United Kingdom)

Author keywords

Artificial Neural Network; Bladder Cancer; Mismatch repair; Neuro Fuzzy Modelling; p53; Prognostic prediction

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOLOGICAL ORGANS; STATISTICAL METHODS; TUMORS;

BLADDER CANCERS; CLINICOPATHOLOGICAL DATA;

BIOMEDICAL ENGINEERING;

BIOLOGICAL MARKER; PROTEIN P53;

ACCURACY; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BLADDER CANCER; CLINICAL FEATURE; FEMALE; HUMAN; HUMAN TISSUE; MAJOR CLINICAL STUDY; MALE; MISMATCH REPAIR; MODEL; PATHOLOGY; PREDICTION; PROGNOSIS; STATISTICAL ANALYSIS; TUMOR GROWTH; TUMOR SUPPRESSOR GENE; VALIDATION PROCESS;

EID: 2942731779     PISSN: 10162372     EISSN: None     Source Type: Journal    
DOI: 10.4015/S1016237204000098     Document Type: Article

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