outlier


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outlier

 [out´li-er]
an observation so distant from the central mass of the data that it noticeably influences results and must be carefully checked to ensure it is not an error.

out·li·er

(owt'lē-ĕr),
An observation that differs so widely from all others in a set as to justify the conclusion that a gross error has occurred or that it comes from a different population.

outlier

/out·li·er/ (out´li-er) an observation so distant from the central mass of the data that it noticeably influences results.

outlier

1 (in managed care) a case in which costs exceed the allowable amount for the specific diagnosis or treatment. The outlier amount is typically specified in advance in the contract between the provider and payer.
2 (in research) an observation that differs from all others, suggesting that a gross error has occurred in sampling, measurement, or analysis.

outlier

Any value outside of an expected range.

outlier

Managed care A Pt who falls outside of the norm–ie, who has an extremely long length of hospital stay or has incurred extraordinarily high costs. See Extreme outlier, High mortality outlier.

out·li·er

(owt'lī-ĕr)
1. Deviant values or figures that are obviously from a different population than those from the rest of the sample.
2. Additions to an estimated cost of delivered services when exceeding a fixed loss threshold.

outlier

an extremely high or low value lying beyond the range of the bulk of the data.
References in periodicals archive ?
To date, research on outlier payments has primarily focused on ones embedded to Medicare hospital PPS.
For the anomaly detection problems, the size of the data set is typically big, and thus it not be easy to take the change of principal directions produced by the occurrence of a single outlier.
In cases where the clinical lead needed to approach practices, the audit data was useful in showing practices how they had been identified as an outlier.
11] proposed a SI-based clustering technique called Hierarchical PSO Based Clustering (HPSO-clustering) for outlier detection.
Aggarwal et al [7] proposed an outlier detection technique based on density, in which the data records were distributed in an uncertain region with a probability density function (PDF), where the value of PDF in this region is 1.
Alert Reporting and Endpoint Visibility : Outlier empowers security teams to quickly respond to threats and examine suspect computers.
For classification of data used outlier detection method.
There have been other outliers in India's prime ministerial stakes -- HD Deve Gowda, I K Gujral, or Chandrashekhar, but their role was insignificant because they were there by the grace of someone else.
In addition to the workspace, Outlier Labs plans to create a series of conferences, with the first being held January 2014.
The second goal of the highlighting was to provide information on the quality of the outlier.
In statistics, an outlier is an observation that is numerically distant from the rest of the data.
To estimate the clinical impact of outliers, we calculated the outlier rate as the number of outliers observed with singlet measurements.