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Possible Answers:
LOS.
Last seen on: USA Today Crossword – Oct 21 2022
Random information on the term “___ Angeles Azules”:
The International Standard Name Identifier (ISNI) is an identifier system for uniquely identifying the public identities of contributors to media content such as books, television programmes, and newspaper articles. Such an identifier consists of 16 digits. It can optionally be displayed as divided into four blocks.
ISNI can be used to disambiguate named entities that might otherwise be confused, and links the data about names that are collected and used in all sectors of the media industries.
It was developed under the auspices of the International Organization for Standardization (ISO) as Draft International Standard 27729; the valid standard was published on 15 March 2012. The ISO technical committee 46, subcommittee 9 (TC 46/SC 9) is responsible for the development of the standard.
The FAQ of the isni.org websites states “An ISNI is made up of 16 digits, the last character being a check character.”
In display it is frequently shown with spaces.
___ Angeles Azules on Wikipedia
Random information on the term “LOS”:
Length of stay (LOS) is the duration of a single episode of hospitalization. Inpatient days are calculated by subtracting day of admission from day of discharge.
A common statistic associated with length of stay is the average length of stay (ALOS), a mean calculated by dividing the sum of inpatient days by the number of patients admissions with the same diagnosis-related group classification. A variation in the calculation of ALOS can be to consider only length of stay during the period under analysis.
Length of stay is typically highly skewed, so statistical approaches taking that into account are recommended. While the mean length of stay is useful from the point of view of costs, it may be a poor statistic in terms of representing a typical length of stay; the median may be preferred.
It is useful to be able to predict an individual’s expected length of stay or to model length of stay to determine factors that affect it. Various analyses have sought to model length of stay in different condition contexts. This has usually been done with regression models, but Markov chain methods have also been applied. Within regression approaches, linear, log-normal and logistic regression approaches have been applied, but have been criticised by other researchers. Carter & Potts (2014) instead recommend use of negative binomial regression.