A Comparison of Cox Regression and Neural Networks for Risk Stratification in Cases of Acute Lymphoblastic Leukaemia in Children
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Steve W. Smye | C. C. Bailey | D. J. Groves | S. E. Kinsey | S. M. Richards | J. M. Chessells | O. B. Eden | S. Richards | S. Smye | O. Eden | S. Kinsey | J. Chessells | C. Bailey | D. Groves | O. B. Eden | Sally E. Kinsey | S. W. Smye | Susan M. Richards
[1] David G. Bounds,et al. A comparison of neural network and other pattern recognition approaches to the diagnosis of low back disorders , 1990, Neural Networks.
[2] C. C. Bailey,et al. Intensification of treatment and survival in all children with lymphoblastic leukaemia: results of UK Medical Research Council trial UKALL X , 1995, The Lancet.
[3] J. Peto,et al. Results of Medical Research Council Childhood Leukaemia Trial UKALL VIII (Report to the Medical Research Council on behalf of the Working Party on Leukaemia in Childhood) , 1991, British journal of haematology.
[4] M De Laurentiis,et al. A technique for using neural network analysis to perform survival analysis of censored data. , 1994, Cancer letters.
[5] R. Gelber,et al. Comparative results of two intensive treatment programs for childhood acute lymphoblastic leukemia: The Berlin-Frankfurt-Münster and Dana-Farber Cancer Institute protocols. , 1991, Annals of oncology : official journal of the European Society for Medical Oncology.
[6] D Cox,et al. The contribution of statistical methods to cancer research , 1991 .
[7] C C Bailey,et al. Gender and treatment outcome in childhood lymphoblastic leukaemia: report from the MRC UKALL trials * , 1995, British journal of haematology.
[8] Yoshua Bengio,et al. Pattern Recognition and Neural Networks , 1995 .
[9] D Faraggi,et al. A neural network model for survival data. , 1995, Statistics in medicine.
[10] D. Kleinbaum,et al. Survival Analysis: A Self-Learning Text. , 1996 .
[11] R Mastrangelo,et al. Report and recommendations of the Rome workshop concerning poor-prognosis acute lymphoblastic leukemia in children: biologic bases for staging, stratification, and treatment. , 1986, Medical and pediatric oncology.
[12] J. Wyatt,et al. Commentary: Prognostic models: clinically useful or quickly forgotten? , 1995 .
[13] W. Baxt,et al. Prospective validation of artificial neural network trained to identify acute myocardial infarction , 1996, The Lancet.
[14] L. Frankel,et al. Ploidy of lymphoblasts is the strongest predictor of treatment outcome in B-progenitor cell acute lymphoblastic leukemia of childhood: a Pediatric Oncology Group study. , 1992, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[15] J. M. Chessells,et al. A Comparison of Cox Regression and Neural Networks for Risk Stratification in Cases of Acute Lymphoblastic Leukaemia in Children , 1999, Neural computing & applications (Print).
[16] Martin Bland,et al. An Introduction to Medical Statistics , 1987 .
[17] M. S. Chesters,et al. Human visual perception and ROC methodology in medical imaging. , 1992, Physics in medicine and biology.
[18] Heekuck Oh,et al. Neural Networks for Pattern Recognition , 1993, Adv. Comput..