Sentence examples for binary grading from inspiring English sources
Binary grading systems are inherently superior to the more common three-grade systems because they are more reproducible and they correspond to the number of options in the binary treatment decision for which grade is considered important: the use of or withholding of chemotherapy.
The new evaluation scale replaces the binary grading system of "satisfactory" and "unsatisfactory" with a spectrum ranging from "ineffective" to "highly effective".
According to the binary grading system newly proposed by WHO [ 12], reexamination of the sample confirmed the diagnosis of epithelial dysplasia.
These results are supported by a recent review of Bernardini & Murphy addressing issue on both the use of the SN technique and the consideration of a binary grading system to simplify triaging of patients [ 28].
According to the new binary grading system proposed by WHO, we found the high-risk dysplastic OL was associated with a 4.57-fold (P < 0.001) increased risk of malignant transformation, when compared to low-risk dysplasia by Cox regression.
Tumors classified by this binary grading system demonstrate diverse survival profiles, with median survival of 4.2 years in patients with low-grade tumors and 1.7 years in those with high-grade tumors 10, 11.
In brief, expression was binary graded for ER and PR, bcl-2, p21, Cyclin D1, and Ck 5/6, Ck 8/18 and SMA.
The associated clinical information was transformed to a binary value: Grade (grade 1 or 2 vs. grade 3, resp.
It should be noted that we were conservative in our statistical analyses of grade as a binary grouping (grades I II vs grades II I IV.
Phenotype: we use three different phenotypical informations to fit the prediction models: (i) the binary class defined by histological grades 1 and 3 (HG), (ii) the censored survival data (SURV) and (iii) the time of events (TOE), i.e. the times from diagnosis until the patients experienced an event.
Whether binary or graded, the measurement vector identifies the stochastic process of interest as the projection Y ( t ) = M ⊺ X ( t ).
