PMID: 11309767Apr 20, 2001Paper

Neural network and regression predictions of 5-year survival after colon carcinoma treatment

Cancer
P B SnowD M Rodvold

Abstract

The Commission on Cancer data from the National Cancer Data Base (NCDB) for patients with colon carcinoma was used to develop several artificial neural network and regression-based models. These models were designed to predict the likelihood of 5-year survival after primary treatment for colon carcinoma. Two modeling methods were used in the study. Artificial neural networks were used to select the more important variables from the NCDB database and model 5-year survival. A standard parametric logistic regression also was used to model survival and the two methods compared on a prospective set of patients not used in model development. The neural network yielded a receiver operating characteristic (ROC) area of 87.6%. At a sensitivity to mortality of 95% the specificity was 41%. The logistic regression yielded a ROC area of 82% and at a sensitivity to mortality of 95% gave a specificity of 27%. The neural network found a strong pattern in the database predictive of 5-year survival status. The logistic regression produced somewhat less accurate, but good, results.

References

Nov 24, 1999·Urology·P B SnowJ M Brandt
Nov 1, 1949·Quarterly Journal of Experimental Physiology and Cognate Medical Sciences·C O HEBB, H KONZETT

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Citations

Apr 16, 2005·Gerontology·Laura TafaroMauro Cacciafesta
Jun 16, 2010·International Journal of Cancer. Journal International Du Cancer·Lee J LancashireAndrew G Renehan
Sep 12, 2006·Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology·Sjoerd M LagardeJ Jan B van Lanschot
Apr 7, 2010·Diabetes & Vascular Disease Research : Official Journal of the International Society of Diabetes and Vascular Disease·Matteo AnselminoJohn Ohrvik
Jun 29, 2018·PloS One·José M QuintanaUNKNOWN REDISSEC-CARESS/CCR group
Jun 13, 2006·European Archives of Oto-rhino-laryngology : Official Journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : Affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery·Andrew S JonesAnthony C Fisher
May 17, 2003·American Journal of Pharmacogenomics : Genomics-related Research in Drug Development and Clinical Practice·R SteinertM A Reymond

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