Artificial neural networks for diagnosis and survival prediction in colon cancer

Molecular Cancer

Volumn 4, Issue , 2005, Pages

  Ahmed, Farid E ^a  

^a EAST CAROLINA UNIVERSITY   (United States)

Author keywords

ANN; Backpropagation; Nodes; Perceptron; Performance; Training; Weights

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CANCER CLASSIFICATION; CANCER RESEARCH; CANCER SURVIVAL; COLON CANCER; COMPUTER PREDICTION; COMPUTER PROGRAM; DIAGNOSTIC ACCURACY; HISTOPATHOLOGY; HUMAN; MACHINE; MATHEMATICAL COMPUTING; MEDICAL INSTRUMENTATION; MEDICAL TECHNOLOGY; METHODOLOGY; NONLINEAR REGRESSION ANALYSIS; PROCESS DESIGN; PUBLISHING; QUALITY CONTROL; RELIABILITY; REVIEW; STATISTICAL ANALYSIS; ARTICLE; COLON TUMOR; NONLINEAR SYSTEM; PROGNOSIS; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE;

COLONIC NEOPLASMS; HUMANS; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS; PROGNOSIS; SENSITIVITY AND SPECIFICITY; SURVIVAL RATE;

EID: 26844479149     PISSN: 14764598     EISSN: 14764598     Source Type: Journal    
DOI: 10.1186/1476-4598-4-29     Document Type: Review

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