title: Building a predictive breast cancer risk model.
abstract: 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.
authors.affiliation: The University of Texas M. D. Anderson Cancer Center, Houston, TX, USA.
authors.forename: Constance M
authors.initials: CM
authors.lastname: Johnson
authors.forename: Joe
authors.initials: J
authors.lastname: Ensor
authors.forename: Kristine
authors.initials: K
authors.lastname: Broglio
authors.forename: Derek
authors.initials: D
authors.lastname: Smolenski
authors.forename: Peter
authors.initials: P
authors.lastname: Ravdin
authors.forename: Christopher
authors.initials: C
authors.lastname: Amos
authors.forename: Funda
authors.initials: F
authors.lastname: Meric-Bernstam
authors.forename: Abenaa
authors.initials: A
authors.lastname: Brewster
authors.forename: Therese
authors.initials: T
authors.lastname: Bevers
authors.forename: Banu
authors.initials: B
authors.lastname: Arun
authors.forename: Donald
authors.initials: D
authors.lastname: Berry
mesh_terms: D001943:Breast Neoplasms; D005260:Female; D006801:Humans; D020407:Internet; D016018:Least-Squares Analysis; D015233:Models, Statistical; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors