Effect of genetic cancer risk assessment on surgical decisions at breast cancer diagnosis
JN Weitzel, SM McCaffrey, R Nedelcu… - Archives of …, 2003 - jamanetwork.com
Hypothesis Breast cancer gene (BRCA) mutation status affects patients' surgical decisions
when genetic cancer risk assessment is offered at the time of breast cancer diagnosis, prior …
when genetic cancer risk assessment is offered at the time of breast cancer diagnosis, prior …
F-test feature selection in Stacking ensemble model for breast cancer prediction
R Dhanya, IR Paul, SS Akula, M Sivakumar… - Procedia Computer …, 2020 - Elsevier
Cancer data sets contains many details of patient information, out of which only a few
attributes contribute in predicting the accurate stage of cancer. Certain attributes of the entire …
attributes contribute in predicting the accurate stage of cancer. Certain attributes of the entire …
Validity of Models for Predicting BRCA1 and BRCA2 Mutations
G Parmigiani, S Chen, ES Iversen Jr… - Annals of internal …, 2007 - acpjournals.org
Background: Deleterious mutations of the BRCA1 and BRCA2 genes confer susceptibility to
breast and ovarian cancer. At least 7 models for estimating the probabilities of having a …
breast and ovarian cancer. At least 7 models for estimating the probabilities of having a …
[HTML][HTML] Evaluation of a breast/ovarian cancer genetics referral screening tool in a mammography population
CA Bellcross, AA Lemke, LS Pape, AL Tess… - Genetics in …, 2009 - Elsevier
Purpose Simple screening tools are needed to facilitate the appropriate referral of patients
for genetic counseling and testing for BRCA1/2 mutations. This study evaluated the reliability …
for genetic counseling and testing for BRCA1/2 mutations. This study evaluated the reliability …
Disparities in uptake of BRCA1/2 genetic testing in a randomized trial of telephone counseling
Purpose: As genetic counseling and testing become more fully integrated into clinical care,
alternative delivery models are increasingly prominent. This study examines predictors of …
alternative delivery models are increasingly prominent. This study examines predictors of …
A novel cognitive interpretation of breast cancer thermography with complementary learning fuzzy neural memory structure
Early detection of breast cancer is the key to improve survival rate. Thermogram is a
promising front-line screening tool as it is able to warn women of breast cancer up to 10 …
promising front-line screening tool as it is able to warn women of breast cancer up to 10 …
A role for common genomic variants in the assessment of familial breast cancer
S Sawyer, G Mitchell, J McKinley… - Journal of clinical …, 2012 - ascopubs.org
Purpose Genome-wide association studies have identified common genomic variants
associated with increased susceptibility to breast cancer. In the general population, the risk …
associated with increased susceptibility to breast cancer. In the general population, the risk …
A comparative study for breast cancer prediction using machine learning and feature selection
R Dhanya, IR Paul, SS Akula… - … and control systems …, 2019 - ieeexplore.ieee.org
While there are many factors which could contribute to the occurrence of breast cancer, it is
very difficult to attribute the exact environmental and other factors contributing to it, but still it …
very difficult to attribute the exact environmental and other factors contributing to it, but still it …
The use of breast imaging to screen women at high risk for cancer
EA Sickles - Radiologic Clinics, 2010 - radiologic.theclinics.com
Clinical experience and, more recently, genetic testing have identified a subset of women
who are at substantially greater than average risk for developing breast cancer. The factors …
who are at substantially greater than average risk for developing breast cancer. The factors …
Breast cancer risk model requirements for counseling, prevention, and screening
MH Gail, RM Pfeiffer - JNCI: Journal of the National Cancer …, 2018 - academic.oup.com
Background Incorporation of polygenic risk scores and mammographic density into models
to predict breast cancer incidence can increase discriminatory accuracy (area under the …
to predict breast cancer incidence can increase discriminatory accuracy (area under the …