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These are relevant for identifying vulnerable populations and factors associated with important risks against survival, possibly leading to the design of public health policies.
Also, the psychiatric diagnostic section provides two additional items that are relevant for identifying an ADRD case: "delirium, dementia and amnesic and other cognitive disorders" in the provisional psychiatric diagnostic section, and two items in the "Psychiatric Diagnosis" – Axis I and II – where DSM-IV codes can be recorded.
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Conversely, identifying clusters of good recovery outcomes is relevant for identifying factors that materialize geographically at the local or neighborhood scale that are beneficial for recovery.
Assumption 6 is relevant for identifying best proximity points in-between adjacent subsets through f which are also 1-fuzzy best proximity points through T. Assume that (T: bigcup_{ i in bar{p}} X_{i} to F ( bigcup_{ i in bar{p}} X_{i} )) is a decomposable p-cyclic fuzzy mapping which satisfies Assumption 6 and that (x in X_{i}) for some given arbitrary (i in bar{p}), such that (X_{i}) is closed.
As shown by Segal et al.[10] the HCC and S456 modules may still be relevant for identifying differences between cancer types.
This information might also be relevant for identifying new targets for treatment and preventive strategies.
Adopting a uniform coverage level is relevant for identifying the pattern of best choices of interventions in terms of efficiency.
Therefore, understanding adipogenesis, the adipocyte differentiation from fibroblast-like preadipocytes to lipid-loaded adipocytes, is relevant for identifying targets for pharmacological interventions.
In particular, when studying tissue autofluorescence, spectral information is relevant for identifying tissue fluorophores contributing to the global emission and unmixing their overlapping signals.
To determine which CUI codes were relevant for identifying pneumonia and influenza deaths it was necessary to create a "CUI code list" that represents all the ICD-10 codes of interest (see Table 1).
MPI and LiSat-11 partly supplement each other as tools to describe how functional impairments relate to life satisfaction domains, which may be relevant for identifying domains which the patients find important to improve.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com