Sentence examples for features that evaluate from inspiring English sources

The aim of this study was to propose features that evaluate pictorial differences between melanocytic nevus (mole) and melanoma lesions by computer-based analysis of plain photography images and to design a cross-platform, tunable, decision support system to discriminate with high accuracy moles from melanomas in different publicly available image databases.

This is a common feature on Portuguese economic evaluations that evaluate treatments provided on an ambulatory setting, as there are no national databases of resource consumption.

Yana et al [ 15] investigated the feature selection methods that evaluate the "informativeness" of a set of genes.

In this paper we propose and study feature selection methods that evaluate the "informativeness" of a set of genes.

Correlation-based Feature Subset (CFS) selection [29], a multivariate feature selection that evaluates the merit of a probe set subset by measuring the individual predictive power of each probe set along with the redundancy within that subset, was then used.

CFS is a filter-based subset feature evaluation algorithm that evaluates each feature subset using simple objective functions.

In this study we used X-ray-evaluated indices of knee OA in medial and lateral PF joints that evaluate such features as joint space narrowing and patellar osteophyte development.

The PCAT has good reliability and validity and consists of 96 questions that evaluate 7 features: 1) first-contact care, 2) continuity of care, 3) comprehensiveness, 4) coordination, 5) community-oriented care, 6) family-centered care, and 7) cultural competence.

The simplest and common approach for selection of the top ranks is by individual searches that evaluate each feature separately.

The two features that we evaluated were the tuple feature from Gomez et al. [10], and the signature products (Sigprod) from Martin et al. [14].

Image analysis generated quantitative IF intensity features that were evaluated univariately, and then multivariately with feature selection to discriminate Her2 (2+) from Her2 (3+).