z-logo
open-access-imgOpen Access
Legal Liability and the Uncertain Nature of Risk Prediction: The Case of Breast Cancer Risk Prediction Models
Author(s) -
Lee Black,
Bartha Maria Knoppers,
Denise Avard,
Jacques Simard
Publication year - 2012
Publication title -
public health genomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.701
H-Index - 51
eISSN - 1662-8063
pISSN - 1662-4246
DOI - 10.1159/000342138
Subject(s) - breast cancer , liability , actuarial science , risk assessment , medicine , predictive modelling , risk analysis (engineering) , cancer , business , computer science , machine learning , finance , computer security
The rapidity of technological change in genetics is not always matched by the uptake of this new knowledge into practice. Increasing genetic knowledge has already led to legal liability for those who have not used it properly, such as not informing patients or their families of potential genetic risk. A similar outcome is also of concern in the case of risk prediction models used for hereditary breast cancer.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom