The overall AUCs for first and second ER-positive and ER-negative BCs ranged between 0.73 and 0.82.Conclusions:ThePREDICTtool largely underestimated the 5-year BC-specific mortality in women diagnosed with a second ER-positive breast cancer and in many subgroups of women diagnosed with a second ...
LONDON, March 15 (Xinhua) -- Scientists have been trying to better predict if and when women's breast cancer could come back using statistical tools. A team consisting of researchers from the University of Cambridge and Stanford University has examined the patterns of genetic changes within tumour...
PREDICT is a widely used online prognostication and treatment benefit tool for patients with early stage breast cancer. The aim of this study was to conduct an independent validation exercise of the most up-to-date version of the PREDICT algorithm (version 2) using real-world outcomes from the...
Introduction PREDICT is a prognostication tool that calculates the potential benefit of various postsurgical treatments on the overall survival (OS) of patients with nonmetastatic invasive breast cancer. Once patient, tumor, and treatment details have been entered, the tool will show the estimated 5 ...
An image-based risk prediction model using digital breast tomosynthesis (DBT) can predict the risk for breast cancer after a negative screening exam, according to a study published in the May 11 issue of Science Translational Medicine.
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have the lowest prediction accuracy because of modeling flaws such as overfitting and underfitting. Many researchers have also struggled to categorize data using DFD-Net, Fuzzy Particle effectively, Swarm Optimization to detect lung cancer, CNN to detect pneumoconiosis, Dense Net, Inception V3, ResNet...
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We observed increasing event rates over metabolomic state percentiles for all 24 investigated diseases, except breast cancer. For 15 of the 24 diseases, the top 10% of the metabolomic state corresponded to a rate more than fivefold higher compared with the bottom 10%. For conditions such ...
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