A general regression neural network analysis of prognostic markers in prostate cancer

Neurocomputing

Volumn 19, Issue 1-3, 1998, Pages 145-150

  Naguib, R N G ^a   Hamdy, F C ^b  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

^b FREEMAN HOSPITAL   (United Kingdom)

Author keywords

Classification; Prediction; Prognosis; Survival analysis

Indexed keywords

DIAGNOSIS; DISEASES; MEDICAL COMPUTING; ONCOLOGY; PATIENT TREATMENT; REGRESSION ANALYSIS; STATISTICAL METHODS;

PROGNOSIS; PROSTATE CANCER; SURVIVAL ANALYSIS;

NEURAL NETWORKS;

TUMOR MARKER;

ADULT; AGED; ARTICLE; CANCER STAGING; CANCER SURVIVAL; CLINICAL ARTICLE; DISEASE CLASSIFICATION; HUMAN; MALE; NERVE CELL NETWORK; OUTCOMES RESEARCH; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; PROSTATE CANCER; RISK ASSESSMENT; TECHNIQUE;

EID: 0345698816     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(97)00090-8     Document Type: Article

References (11)

1. Cox D.R. Regression models and life-tables. J. Roy. Statist. Soc. Ser. B. 34:1972;187.
2. Erlichman C., Warde P., Gadalla T., Ciampi A., Baskerville T. RECAMP analysis of prognostic factors in patients with stage III breast cancer. Breast Cancer Res. Treat. 16:1990;231.
3. Gittes R.F. Carcinoma of the prostate. N. Eng. J. Med. 324:1991;236.
4. R.N.G. Naguib, F.C. Hamdy, Prognostic neuroclassification of prostate cancer patients, Proc. IEEE Internat. Conf. Eng. Med. Biol. Soc., Chicago, 1997, pp. 1003-1006.
5. Naguib R.N.G., Robinson M.C., Apakama I., Neal D.E., Hamdy F.C. Neural networks analysis of prognostic markers in prostate cancer. Br. J. Urol. 77(1):1996;50.
6. Naguib R.N.G., Robinson M.C., Neal D.E., Hamdy F.C. Neural networks. a new tool to predict outcome in prostate cancer Eur. Urol. 30(2):1996;73.
7. NeuralWorks Professional II/Plus Reference Guide, NeuralWare, Pittsburgh, PA, 1995.
8. Office of Population Censuses and Surveys 1993 Cancer Statistics. Registrations 1987, England and Wales, Series MB1, No. 20, HMSO, London.
9. Schröder F.H., Hermanek P., Denis L., Fair W.R., Gospodarowick M.K., Pavone-Macluso M. The TNM classification of prostate cancer. The Prostate. (suppl. 4):1992;129.
10. Snow P.B., Smith D.S., Catalona W.J. Artificial neural networks in the diagnosis and prognosis of prostate cancer: a pilot study. J. Urol. 152:1994;1923.
11. Specht D.F. A general regression neural network. IEEE Trans. Neural Networks. 2(6):1991;568.