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Moreover, in 86 nodules ≥4 cm with no suspicious US features, the risk of TC within the nodule was 20%%.
However, if the CV estimate is used to select the model from a very large set of alternatives, for example, feature subset selection from the power set of all features, the risk for over-fitting will be considerably larger.
Still even with adjuvant radiotherapy, in the presence of high-risk features, the risk of local recurrence (27 61%), distant metastases (18 21%), and death (5-year survival rate 27 34%) remain unsatisfactorily high (Cooper et al, 1998).
Theoretically presence of two independent markers of malignancy multiplies the relative risk of malignancy; in case of two strongly associated features the risk should be near to this of the stronger marker.
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Familial clustering of type 1 diabetes is a conspicuous feature; the risk of developing type 1 diabetes is 8 15-fold higher in first-degree relatives (1– 6) and twofold in second-degree relatives (1, 7).
For different types of the feature selection, the conservativeness was investigated as considering fewer features reduces the risk of overfitting.
To evaluate the clinical features and the risk factors of recurrence in infantile exotropia.
Thus far, the clinical features for the risk of aspiration have not been identified for populations other than acute stroke.
Clinical studies have associated stent design features with the risk of restenosis.
A review of the available literature yields a few caveats: certain correlations that exist between device design features and the risk of graft-related complications during and after implantation.
In their model, features affected the risk nonlinearly.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com