An AdaBoost-based hypothesis is formulated to select a few hundreds of the numerous extracted features to speed up classification.
To speed up classification, Viola and Jones [9] proposed a cascade structure where several strong classifiers are associated into successive levels.
The addition of IL-6 led to an up classification of 60.6% of patients with a severe course of CAP and a down classification of 57.4% of control patients (Table 2) and thus improved the categorization.
Growth rates during the 1st 2 days of exposure were used to set up classification criteria to test and classify a blinded panel of 20 tuberculosis strains with different susceptibilities.
Some of these representations have been used to construct bottom-up classifications of the "metabolome" [ 21], but this pioneering and interesting work has some drawbacks.
When we evaluated the performance of loss to follow-up classifications at different time intervals, the best-performing definition was ≥56 days, identical to our primary analysis.
The main problem for constructing bottom-up classifications of metabolic phenomena may be that there is no standard way of quantifying similarities among chemical compounds and, more especially, metabolic reactions, in contrast to protein sequences and structures.
Such class decomposition has two advantages: (1) diversification of the input that enhances the ensemble classification; and (2) improving class separability, easing the follow-up classification process.
Transversal b corticomedullary phase and c nephrographic phase CT images after 4-year follow-up: The lesion progressed in complexity with enlargement of the intrarenal component leading to up-classification to BIII.
PR3 SERPIN A1 in addition to the GRACE score also led to significant (P<0.02) up-classification of patients with end points, although when added to GRACE score with NT-proBNP, this up-classification was not significant (P=0.14).
NT-proBNP led to significant up-classification of patients with end points and down-classification of event-free survivors (Table 4), when added to the GRACE score (P<0.0002).
