Predicting breast cancer survivability: a comparison of three data mining methods-Reference-Cited by-同舟云学术

Predicting breast cancer survivability: a comparison of three data mining methods

Published:2005-06 Issue:2 Volume:34 Page:113-127
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Delen Dursun,Walker Glenn,Kadam Amit

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference40 articles.

1. Calle J. Breast cancer facts and figures 2003–2004. American Cancer Society 2004. p. 1–27 (http://www.cancer.org/).

2. Breast cancer Q&A/facts and statistics (http://www.komen.org/bci/bhealth/QA/q_and_a.asp).

3. A combined neural network and decision trees model for prognosis of breast cancer relapse;Jerez-Aragonés;Artif. Intell. Med.,2003

4. Annual report to the nation on the status of cancer, 1973–1999, featuring implications of age and aging on US cancer burden;Edwards;Cancer,2002

5. Ross E. Breast cancer drug may prolong life. Associated Press; 2003 (http://aolsvc.news.aol.com/news/article.ade?Fid=20030924090209990002&mpc=news%2e10%2e7).

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