نتایج جستجو برای: gail risk model
تعداد نتایج: 2934993 فیلتر نتایج به سال:
Women who are at increased risk for developing breast cancer can be identified using quantitative risk assessment models that provide valid estimates of risk. The Breast Cancer Prevention Trial (BCPT, P-1) demonstrated that tamoxifen can reduce the incidence of both invasive and noninvasive breast cancer as well as of bone fractures in women at increased risk. These benefits accrue at the expen...
Whether information on genetic variants can be used for better prediction of disease risk is of current clinical interest. Previous studies have shown that mutations in the BRCA1 and BRCA2 genes are associated with high risk of breast cancer (1). Theoretical considerations suggest that further work will lead to the discovery of more genes that are involved in breast carcinogenesis (2). However,...
RATIONALE AND OBJECTIVES Studies have demonstrated a relationship between mammographic parenchymal texture and breast cancer risk. Although promising, texture analysis in mammograms is limited by tissue superposition. Digital breast tomosynthesis (DBT) is a novel tomographic x-ray breast imaging modality that alleviates the effect of tissue superposition, offering superior parenchymal texture v...
In their commentary on tamoxifen, Lippman and Brown [(1), p. 1813] cite figures from Fisher (2) and state that “these figures demonstrate that tamoxifen prevention potentially could impart a substantial net benefit to the public health.” In light of the article presented by Gail et al. (3) in the same issue of the Journal and some of our own calculations given below, we wish to offer a differen...
Matrix metalloproteinases (MMP) and a disintegrin and metalloprotease 12 (ADAM 12) can be detected in the urine of breast cancer patients and provide independent prediction of disease status. To evaluate the potential of urinary metalloproteinases as biomarkers to predict breast cancer risk status, urine samples from women with known risk marker lesions, atypical hyperplasia and lobular carcino...
Inductive learning techniques can be utilised to build a set of IF-THEN rules from a given example data set. This paper presents a new technique for inductive learning called GAIL (Genetic Algorithm for Inductive Learning) which is based on Genetic Algorithms. Common algorithms for inductive learning are briefly reviewed. The GAIL algorithm is described and results are shown for two benchmark d...
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