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This discriminant analysis among multiple groups leads to the determination of the optimal discriminating surface in a multivariable space and can also produce a severity of disease likelihood index.
This study aimed to determine an optimal discriminating number of concomitant medications associated with geriatric syndromes, functional outcomes, and mortality in community-dwelling older men.
We demonstrate that three, and perhaps four regions yield close to optimal discriminating ability.
We formalize our problem as the Optimal Discriminating k-Subnetwork (ODkS) problem below.
The 2,448 SNPs with Cramer's V coefficients greater than 0.6 on the training dataset were considered to be candidate SNPs and were analyzed using more advanced machine learning based feature selections [ 33– 36] to obtain the optimal discriminating SNPs.
In a 1996 US study of 201 general ICU patients, the CCI showed less than optimal discriminating ability for in-hospital mortality (c-statistic = 0.67).
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Table 3 Optimal discriminate analysis models for R. aurora breeding abundance addressing the seven variables examined.
Analysis of IFN-γ resulted in 74% correct classification into TST+ or TST− HHC and additional cytokines did not enhance classification indicating that 7-day stimulation is optimal for discriminating between active disease and latent infection.
The data are projected onto a new set of coordinates that is optimal in discriminating between the data points.
In [ 21], Kremling et al. presented three methods for optimal pairwise discriminating experiment design, and compared them on a test example.
Indeed, among these five acoustic parameters, CVA, DF, and SF were previously found to be optimal in discriminating between the vocalizations of these clades [ 23], in line with the best-fitting multivariate trait distance obtained here.
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