Breast cancer predictions by neural networks analysis: A comparison with logistic regression

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2007, Pages 5424-5427

  Bourdes V S ^a   Bonnevay, S ^b   Lisboa, P J G ^c   Aung, M S H ^c   Chabaud, S ^d   Bachelot, T ^d   Perol, D ^d   Negrier, S ^d  

^a Themis   (France)

^b UNIVERSITÉ LYON 1   (France)

^c LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^d CENTRE LÉON BÉRARD   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CELL DEATH; DISEASES; MULTILAYER NEURAL NETWORKS; REGRESSION ANALYSIS; STATISTICS; TRANSPLANTATION (SURGICAL);

BIOSTATISTICIANS; BREAST CANCER; SPECIFIC MORTALITY;

TUMORS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BREAST TUMOR; COMPUTER SIMULATION; DISEASE FREE SURVIVAL; EVALUATION STUDY; FRANCE; HUMAN; METHODOLOGY; MORTALITY; PREVALENCE; REGRESSION ANALYSIS; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL; SURVIVAL RATE; TUMOR RECURRENCE;

ALGORITHMS; BREAST NEOPLASMS; COMPUTER SIMULATION; DISEASE-FREE SURVIVAL; FRANCE; HUMANS; LOGISTIC MODELS; NEOPLASM RECURRENCE, LOCAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PREVALENCE; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 57649207990     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353569     Document Type: Conference Paper

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