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The classification consider the requirements including low and high threshold values, on-demand access to a specific vital sign, and normal, emergency and non-emergency data.
Experts in the field of classification consider it poor form to create a class based on criteria of exclusion.
These contemporary traditional systems of medical classification consider the person as a whole, rather than focusing on particular organs or biological systems as is done in allopathic medicine in the West.
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The classification considered their design strategy and communication model characteristics.
From the software side, the proposed classification considers all layers: application software, OS, and device drivers.
Such a classification considered this group as the most primitive of the teleostean fishes and ancestral to all other advanced orders of Teleostei.
This classification considers sixteen different architectures, whose inverse kinematics is solved with a single approach, due to the geometric derivation introduced here as well.
Their classification considered security properties: confidentiality, integrity, availability, authenticity, and privacy.
Plinius the Elder (23 79 AD) proposed the first headache classification considering different pain sites (temples, occipital, holocranial) [2].
On the other hand, the previous work of high-level classification considers the network of a whole class of data items.
Semi-supervised learning methods concern the problem of automatic classification considering data sets with a small number of labeled data and a large amount of unlabeled data [7].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com