An Intelligent Risk Prediction System for Breast Cancer Using Fuzzy Temporal Rules

2018 ◽  
Vol 42 (3) ◽  
pp. 227-232 ◽  
Author(s):  
U. Kanimozhi ◽  
S. Ganapathy ◽  
D. Manjula ◽  
A. Kannan
Keyword(s):  
Breast Cancer ◽  
Risk Prediction ◽  
Prediction System

scholarly journals Genomic Risk Prediction for Breast Cancer in Older Women

Cancers ◽  
2021 ◽  
Vol 13 (14) ◽  
pp. 3533
Author(s):  
Paul Lacaze ◽  
Andrew Bakshi ◽  
Moeen Riaz ◽  
Suzanne G. Orchard ◽  
Jane Tiller ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Older Women ◽  
Risk Prediction ◽  
Prediction Models ◽  
Cox Regression ◽  
Susceptibility Genes ◽  
Controlled Clinical Trial ◽  
Polygenic Risk Score ◽  
Double Blind ◽  
Genomic Risk

Genomic risk prediction models for breast cancer (BC) have been predominantly developed with data from women aged 40–69 years. Prospective studies of older women aged ≥70 years have been limited. We assessed the effect of a 313-variant polygenic risk score (PRS) for BC in 6339 older women aged ≥70 years (mean age 75 years) enrolled into the ASPREE trial, a randomized double-blind placebo-controlled clinical trial investigating the effect of daily 100 mg aspirin on disability-free survival. We evaluated incident BC diagnoses over a median follow-up time of 4.7 years. A multivariable Cox regression model including conventional BC risk factors was applied to prospective data, and re-evaluated after adding the PRS. We also assessed the association of rare pathogenic variants (PVs) in BC susceptibility genes (BRCA1/BRCA2/PALB2/CHEK2/ATM). The PRS, as a continuous variable, was an independent predictor of incident BC (hazard ratio (HR) per standard deviation (SD) = 1.4, 95% confidence interval (CI) 1.3–1.6) and hormone receptor (ER/PR)-positive disease (HR = 1.5 (CI 1.2–1.9)). Women in the top quintile of the PRS distribution had over two-fold higher risk of BC than women in the lowest quintile (HR = 2.2 (CI 1.2–3.9)). The concordance index of the model without the PRS was 0.62 (95% CI 0.56–0.68), which improved after addition of the PRS to 0.65 (95% CI 0.59–0.71). Among 41 (0.6%) carriers of PVs in BC susceptibility genes, we observed no incident BC diagnoses. Our study demonstrates that a PRS predicts incident BC risk in women aged 70 years and older, suggesting potential clinical utility extends to this older age group.

A Fall Risk Prediction System Based on 3D Space Human Skeleton Torso Images

2021 ◽  
Author(s):  
Wan-Jung Chang ◽  
Liang-Bi Chen ◽  
Jian-Ping Su ◽  
Ming-Che Chen ◽  
Tzu-Chin Yang
Keyword(s):  
Risk Prediction ◽  
Fall Risk ◽  
Prediction System ◽  
Human Skeleton ◽  
3D Space

scholarly journals PCN152 Can Breast Cancer Risk Prediction Reduce the Risks of False Negative and False Positive Screening Mammograms?

2011 ◽  
Vol 14 (7) ◽  
pp. A462
Author(s):  
K. Armstrong ◽  
E. Handorf ◽  
J. Chen ◽  
M. Bristol-Demeter
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
False Positive ◽  
False Negative ◽  
Screening Mammograms

scholarly journals Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry

2015 ◽  
Vol 25 (2) ◽  
pp. 359-365 ◽  
Author(s):  
Gillian S. Dite ◽  
Robert J. MacInnis ◽  
Adrian Bickerstaffe ◽  
James G. Dowty ◽  
Richard Allman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Risk Prediction ◽  
Breast Cancer Family ◽  
Cancer Family ◽  
Clinical Models

scholarly journals European Breast Cancer Council manifesto 2018: Genetic risk prediction testing in breast cancer

2019 ◽  
Vol 106 ◽  
pp. 45-53 ◽  
Author(s):  
Emiel Rutgers ◽  
Judith Balmana ◽  
Marc Beishon ◽  
Karen Benn ◽  
D. Gareth Evans ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Risk Prediction ◽  
Genetic Risk ◽  
Genetic Risk Prediction ◽  
Cancer Council
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