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Using a large number of predictor variables cannot guarantee the performance of prognosis models if these variables are correlated with one another [ 30, 31].
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The number of diagnostic genes was reduced to 27 without affecting the performance of the prognosis predictor.
The performance of the prognosis predictor based on ATAC-PCR indicated that this predictor held promise for the support of conventional histopathological classification.
Leave-one-out cross validation (LOOCV) was applied to assess the performance of the prognosis model as the simplest and most widely used method for estimating prediction accuracy [ 31].
Although NT-proBNP on admission and at 48 hours showed a good performance for prognosis of in-hospital mortality, with AUC ROC > 0.8 for both, they did not improve the value of severity scores usually used in ICUs.
To evaluate the performance of the proposed prognosis models, a full data set is divided into two sets: training and testing sets.
In this study, we focus on utilizing an integrated dataset (that consists of a very large number of samples) along with clinical data to improve the performance of breast cancer prognosis classification.
The results demonstrated that CSC technique and sampling techniques (i.e., SMOTE and under-sampling) can significantly improve the performance of five-year prognosis models/classifiers for breast cancer patients (i.e., LR and DT).
The first is to test the performance of the gene prognosis signature (70-gene classifier) in comparison with the common clinic pathologic criteria as a new prognostic tool that will reduce the risk of overtreatment with the correct identification of patients who need adjuvant chemotherapy.
For example, competing risks should also be accounted for in this context [ 61], and new metrics for the evaluation of prognosis performance should be used [ 62].
Among the main classical prognostic factors, stage of the disease and performance status were both determinants of prognosis.
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CEO of Professional Science Editing for Scientists @ prosciediting.com