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Building a predictive breast cancer risk model.

Publication ,  Journal Article
Johnson, CM; Ensor, J; Broglio, K; Smolenski, D; Ravdin, P; Amos, C; Meric-Bernstam, F; Brewster, A; Bevers, T; Arun, B; Berry, D
Published in: AMIA ... Annual Symposium proceedings. AMIA Symposium
October 2007

The poster outlines the development of a breast cancer risk assessment tool for the World-Wide-Web based on well-established epidemiological, clinical, and genetic risk factors.

Duke Scholars

Published In

AMIA ... Annual Symposium proceedings. AMIA Symposium

EISSN

1942-597X

Publication Date

October 2007

Start / End Page

995

Related Subject Headings

  • Risk Factors
  • Risk Assessment
  • Models, Statistical
  • Least-Squares Analysis
  • Internet
  • Humans
  • Female
  • Breast Neoplasms
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Johnson, C. M., Ensor, J., Broglio, K., Smolenski, D., Ravdin, P., Amos, C., … Berry, D. (2007). Building a predictive breast cancer risk model. AMIA ... Annual Symposium Proceedings. AMIA Symposium, 995.
Johnson, Constance M., Joe Ensor, Kristine Broglio, Derek Smolenski, Peter Ravdin, Christopher Amos, Funda Meric-Bernstam, et al. “Building a predictive breast cancer risk model.AMIA ... Annual Symposium Proceedings. AMIA Symposium, October 2007, 995.
Johnson CM, Ensor J, Broglio K, Smolenski D, Ravdin P, Amos C, et al. Building a predictive breast cancer risk model. AMIA . Annual Symposium proceedings AMIA Symposium. 2007 Oct;995.
Johnson, Constance M., et al. “Building a predictive breast cancer risk model.AMIA ... Annual Symposium Proceedings. AMIA Symposium, Oct. 2007, p. 995.
Johnson CM, Ensor J, Broglio K, Smolenski D, Ravdin P, Amos C, Meric-Bernstam F, Brewster A, Bevers T, Arun B, Berry D. Building a predictive breast cancer risk model. AMIA . Annual Symposium proceedings AMIA Symposium. 2007 Oct;995.

Published In

AMIA ... Annual Symposium proceedings. AMIA Symposium

EISSN

1942-597X

Publication Date

October 2007

Start / End Page

995

Related Subject Headings

  • Risk Factors
  • Risk Assessment
  • Models, Statistical
  • Least-Squares Analysis
  • Internet
  • Humans
  • Female
  • Breast Neoplasms