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Furthermore, we show that a classifier trained only on predicted fMRI activity patterns could accurately classify measured fMRI activity patterns.
A previously developed classification algorithm was implemented to classify measured sites.
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According to the children and youth version of the WHO's classification (ICF-CY) [ 2], function can be classified, measured and influenced in several dimensions; like body structure and function, and in activity and participation.
The aim of this study was to review the literature to determine the methods used to classify, measure and improve data quality in trauma registries.
Silberschatz and Tuzhilin classify measures of interestingness into two classes, the objective and the subjective measures [ 7].
We classified measures according to a conceptual framework, which underwent content validation with an expert panel.
The framework, based on previous models of care coordination [ 7, 8] and input from a second panel of 15 experts, classifies measure instruments along two dimensions: perspective and domain.
Different methods to identify and classify TSSs measured by CAGE have been developed [ 1, 5, 35].
The literature on data quality in disease registries is inconsistent and ambiguous; methods used for classifying, measuring, and improving data quality are not standardised.
This research attempts to identify, classify, and measure those barriers in achieving resilience, typically seen in electronic manufacturing supply chains.
Confidence is limited because of definitional issues regarding how to classify and measure a drought, a lack of observational data and the inability of models to include all the factors that influence droughts.
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