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In the second set of validation analyses (Validation II), the mapping algorithms generated through the full sample were tested on three random samples [ 33].
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Previous studies have demonstrated the use of mapping algorithms to generate HSUVs from FACT-G.
24 We addressed this uncertainty by using four different mapping algorithms to generate a range of plausible HSUVs for use in economic evaluations.
To express and maintain the knowledge of chemical concentration changes using the Petri net, we design a mapping algorithm for generating the Petri net from production rules.
They showed that Swarm data can be incorporated into a spherical cap harmonic mapping algorithm that generates high-latitude convection maps from ground-based radar data.
This highlights the importance of choosing a appropriate mapping algorithm to generate comparable and more precise genetic maps.
This paper has produced a mapping algorithm to generate a CHU9D utility score from KIDSCREEN-10 items.
The purpose of the current study is to formulate a mapping algorithm for generating the EQ-5D health utility index from the FACT-B, so that oncologists and clinical researchers can obtain both a psychometric description and a quantitative utility summary of a patient's health status from a single assessment using the FACT-B, without imposing additional assessment burden on patients.
We can divide these numerous tractography methodologies into two main classes, the probabilistic (e.g. [8] [10]) algorithms providing connection probability maps, and the deterministic ([11] [13]) algorithms generating virtual fibers.
Experimental results show that fuzzy algorithms generate more accurate delineations as measured by their closeness to the Major Land Resources Areas MLRAA) map.
Secondly, once a composite genotype matrix is generated from several populations it contains a large proportion of missing data, where conventional mapping algorithms will tend to generate maps of low quality.
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