Development of a rule based prognostic tool for HER 2 positive breast cancer patients

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

Volumn , Issue , 2007, Pages 5416-5419

  Lisboa, Paulo J G ^a   Etchells, Terence A ^a   Jarman, Ian H ^a   Aung, M S Hane ^a   Chabaud, Sylvie ^b   Bachelot, Thomas ^b   Perol, David ^b   Gargi, Thérèse ^b   Bourdès, Valérie ^c   Bonnevay, Stéphane ^d   Négrier, Sylvie ^e  

^a LIVERPOOL JOHN MOORES UNIVERSITY   (United Kingdom)

^b CENTRE LÉON BÉRARD   (France)

^c THEMIS ICTA Group   (France)

^d UNIVERSITÉ LYON 1   (France)

^e NONE

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; CELL DEATH; DECISION TREES; NEURAL NETWORKS; PATIENT TREATMENT; TUMORS;

EXPERT KNOWLEDGE; ORTHOGONAL SEARCH BASED RULE EXTRACTION (OSRE) ALGORITHM; PROGNOSTIC TOOLS;

ONCOLOGY;

EPIDERMAL GROWTH FACTOR RECEPTOR 2;

ALGORITHM; ARTICLE; BREAST TUMOR; COMPUTER PROGRAM; EVALUATION STUDY; FEMALE; FRANCE; HUMAN; INCIDENCE; METABOLISM; METHODOLOGY; MORTALITY; PROGNOSIS; PROPORTIONAL HAZARDS MODEL; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL; SURVIVAL RATE;

ALGORITHMS; BREAST NEOPLASMS; FEMALE; FRANCE; HUMANS; INCIDENCE; LOGISTIC MODELS; PROGNOSIS; PROPORTIONAL HAZARDS MODELS; RECEPTOR, ERBB-2; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SOFTWARE; SURVIVAL ANALYSIS; SURVIVAL RATE;

EID: 57649159442     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2007.4353567     Document Type: Conference Paper

References (6)

1. Bishop C.M. Neural Networks for Pattern Recognition, Oxford University Press Inc, New York. 1995.
2. Etchells, T.A., Lisboa, P.J.G. "Orthogonal Search-Based Rule Extraction (OSRE) for Trained Neural Networks: A Practical and Efficient Approach" IEEE Trans New. Net. Vol. 17(2). pp. 734-38, 2006.
3. Galea, M.H, Blarney, R.W, Elston, C.E, Ellis, I.O. 'The Nottingham Prognostic Index in primary breast cancer'. Breast Cancer Res treat. Vol 22. pp. 207-19. 1992
4. Kaplan E.L & Meier P. "Nonparametric estimation form incomplete observations." Journal of the American Statistical AssociationVol (53). pp. 457-81. 1958.
5. Lisboa, P.J.G. 'A review of evidence of health benefit from artificial neural networks in medical intervention', Neural Networks, Vol 15, (1). pp. 9-37, 2002.
6. Nabney I. T. NETLAB Algorithms for Pattern Recognition. Springer. 2002.