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The trial MeSH assignment interface.
The aim of this study was to improve naïve Bayes prediction of Medical Subject Headings (MeSH) assignment to documents using optimal training sets found by an active learning inspired method.
The confidence values low, medium, high, and unknown indicate whether the MeSH assignment is based on direct (e.g. mutation in gene) or indirect (pathway component in disease gene pathway) evidence.
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Furthermore, the implications of using MeSH assignments to define the body of literature and journals may result in ignoring citation patterns and temporal incongruence.
It applies a systematic software engineering approach to patient/subject-specific meshing and assignment of material properties.
In multi-radio mesh networks, channel assignment (CA) is a mechanism which tries to find a feasible mapping between wireless channels and radio interfaces at each node with the aim of maximizing the capacity of the network.
Here we report a framework for detailed simulations conformal to 3D micro/nano-scale reconstructions of porous structures, obtained from phase-sensitive x-ray nanotomography, using COMSOL and iso2mesh packages coordinated with custom code for automated feature recognition, meshing, refinement, equation assignment, and solution.
The test set covers 3951 distinct MeSH terms (9596 assignments).
Because of inconsistencies in the assignment of MeSH terms to articles, we used an exhaustive list of MeSH terms to identify articles (Additional File 1).
MI-MeSH indexing patterns such as the apparent mutual exclusivity of MI-MeSH terms, and the concordance with application domain terms may also suggest incongruence between the assignment of MeSH terms and conventional thought regarding the field's taxonomy.
The assignment of MeSH terms is based on the match between the information about a particular MeSH term, such as its synonyms and short description, and the text to classify.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com