HL7 Terminology (THO)
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HL7 Terminology (THO), published by HL7 International - Vocabulary Work Group. This guide is not an authorized publication; it is the continuous build for version 5.4.19 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/UTG/ and changes regularly. See the Directory of published versions

: StatisticsCode - TTL Representation

Draft as of 2020-04-09

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@prefix fhir: <http://hl7.org/fhir/> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

# - resource -------------------------------------------------------------------

 a fhir:CodeSystem ;
  fhir:nodeRole fhir:treeRoot ;
  fhir:id [ fhir:v "observation-statistics"] ; # 
  fhir:meta [
fhir:lastUpdated [ fhir:v "2020-04-09T21:10:28.568+00:00"^^xsd:dateTime ]
  ] ; # 
  fhir:text [
fhir:status [ fhir:v "generated" ] ;
fhir:div "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p>This case-sensitive code system <code>http://terminology.hl7.org/CodeSystem/observation-statistics</code> defines the following codes:</p><table class=\"codes\"><tr><td style=\"white-space:nowrap\"><b>Code</b></td><td><b>Display</b></td><td><b>Definition</b></td></tr><tr><td style=\"white-space:nowrap\">average<a name=\"observation-statistics-average\"> </a></td><td>Average</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Arithmetic_mean\">mean</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">maximum<a name=\"observation-statistics-maximum\"> </a></td><td>Maximum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Maximal_element\">maximum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">minimum<a name=\"observation-statistics-minimum\"> </a></td><td>Minimum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Minimal_element\">minimum</a> value of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">count<a name=\"observation-statistics-count\"> </a></td><td>Count</td><td><div><p>The [number] of valid measurements over the stated period that contributed to the other statistical outputs.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">total-count<a name=\"observation-statistics-total-count\"> </a></td><td>Total Count</td><td><div><p>The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">median<a name=\"observation-statistics-median\"> </a></td><td>Median</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Median\">median</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">std-dev<a name=\"observation-statistics-std-dev\"> </a></td><td>Standard Deviation</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Standard_deviation\">standard deviation</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">sum<a name=\"observation-statistics-sum\"> </a></td><td>Sum</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Summation\">sum</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">variance<a name=\"observation-statistics-variance\"> </a></td><td>Variance</td><td><div><p>The <a href=\"https://en.wikipedia.org/wiki/Variance\">variance</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">20-percent<a name=\"observation-statistics-20-percent\"> </a></td><td>20th Percentile</td><td><div><p>The 20th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">80-percent<a name=\"observation-statistics-80-percent\"> </a></td><td>80th Percentile</td><td><div><p>The 80th <a href=\"https://en.wikipedia.org/wiki/Percentile\">Percentile</a> of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-lower<a name=\"observation-statistics-4-lower\"> </a></td><td>Lower Quartile</td><td><div><p>The lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-upper<a name=\"observation-statistics-4-upper\"> </a></td><td>Upper Quartile</td><td><div><p>The upper <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartile</a> Boundary of N measurements over the stated period.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">4-dev<a name=\"observation-statistics-4-dev\"> </a></td><td>Quartile Deviation</td><td><div><p>The difference between the upper and lower <a href=\"https://en.wikipedia.org/wiki/Quartile\">Quartiles</a> is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-1<a name=\"observation-statistics-5-1\"> </a></td><td>1st Quintile</td><td><div><p>The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-2<a name=\"observation-statistics-5-2\"> </a></td><td>2nd Quintile</td><td><div><p>The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-3<a name=\"observation-statistics-5-3\"> </a></td><td>3rd Quintile</td><td><div><p>The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">5-4<a name=\"observation-statistics-5-4\"> </a></td><td>4th Quintile</td><td><div><p>The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">skew<a name=\"observation-statistics-skew\"> </a></td><td>Skew</td><td><div><p>Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined.  Source: <a href=\"https://en.wikipedia.org/wiki/Skewness\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">kurtosis<a name=\"observation-statistics-kurtosis\"> </a></td><td>Kurtosis</td><td><div><p>Kurtosis  is a measure of the &quot;tailedness&quot; of the probability distribution of a real-valued random variable.   Source: <a href=\"https://en.wikipedia.org/wiki/Kurtosis\">Wikipedia</a>.</p>\n</div></td></tr><tr><td style=\"white-space:nowrap\">regression<a name=\"observation-statistics-regression\"> </a></td><td>Regression</td><td><div><p>Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: <a href=\"https://en.wikipedia.org/wiki/Simple_linear_regression\">Wikipedia</a>  This Statistic code will return both a gradient and an intercept value.</p>\n</div></td></tr></table></div>"
  ] ; # 
  fhir:url [ fhir:v "http://terminology.hl7.org/CodeSystem/observation-statistics"^^xsd:anyURI] ; # 
  fhir:identifier ( [
fhir:system [ fhir:v "urn:ietf:rfc:3986"^^xsd:anyURI ] ;
fhir:value [ fhir:v "urn:oid:2.16.840.1.113883.4.642.1.1126" ]
  ] ) ; # 
  fhir:version [ fhir:v "1.0.0"] ; # 
  fhir:name [ fhir:v "StatisticsCode"] ; # 
  fhir:title [ fhir:v "StatisticsCode"] ; # 
  fhir:status [ fhir:v "draft"] ; # 
  fhir:experimental [ fhir:v "false"^^xsd:boolean] ; # 
  fhir:date [ fhir:v "2020-04-09T21:10:28+00:00"^^xsd:dateTime] ; # 
  fhir:publisher [ fhir:v "Health Level Seven International"] ; # 
  fhir:contact ( [
    ( fhir:telecom [
fhir:system [ fhir:v "url" ] ;
fhir:value [ fhir:v "http://hl7.org" ]     ] [
fhir:system [ fhir:v "email" ] ;
fhir:value [ fhir:v "hq@HL7.org" ]     ] )
  ] ) ; # 
  fhir:description [ fhir:v "The statistical operation parameter -\"statistic\" codes."] ; # 
  fhir:copyright [ fhir:v "This material derives from the HL7 Terminology (THO). THO is copyright ©1989+ Health Level Seven International and is made available under the CC0 designation. For more licensing information see: https://terminology.hl7.org/license"] ; # 
  fhir:caseSensitive [ fhir:v "true"^^xsd:boolean] ; # 
  fhir:valueSet [
fhir:v "http://terminology.hl7.org/ValueSet/observation-statistics"^^xsd:anyURI ;
fhir:link <http://terminology.hl7.org/ValueSet/observation-statistics>
  ] ; # 
  fhir:content [ fhir:v "complete"] ; # 
  fhir:concept ( [
fhir:code [ fhir:v "average" ] ;
fhir:display [ fhir:v "Average" ] ;
fhir:definition [ fhir:v "The [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "maximum" ] ;
fhir:display [ fhir:v "Maximum" ] ;
fhir:definition [ fhir:v "The [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "minimum" ] ;
fhir:display [ fhir:v "Minimum" ] ;
fhir:definition [ fhir:v "The [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "count" ] ;
fhir:display [ fhir:v "Count" ] ;
fhir:definition [ fhir:v "The [number] of valid measurements over the stated period that contributed to the other statistical outputs." ]
  ] [
fhir:code [ fhir:v "total-count" ] ;
fhir:display [ fhir:v "Total Count" ] ;
fhir:definition [ fhir:v "The total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values." ]
  ] [
fhir:code [ fhir:v "median" ] ;
fhir:display [ fhir:v "Median" ] ;
fhir:definition [ fhir:v "The [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "std-dev" ] ;
fhir:display [ fhir:v "Standard Deviation" ] ;
fhir:definition [ fhir:v "The [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "sum" ] ;
fhir:display [ fhir:v "Sum" ] ;
fhir:definition [ fhir:v "The [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "variance" ] ;
fhir:display [ fhir:v "Variance" ] ;
fhir:definition [ fhir:v "The [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "20-percent" ] ;
fhir:display [ fhir:v "20th Percentile" ] ;
fhir:definition [ fhir:v "The 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "80-percent" ] ;
fhir:display [ fhir:v "80th Percentile" ] ;
fhir:definition [ fhir:v "The 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "4-lower" ] ;
fhir:display [ fhir:v "Lower Quartile" ] ;
fhir:definition [ fhir:v "The lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "4-upper" ] ;
fhir:display [ fhir:v "Upper Quartile" ] ;
fhir:definition [ fhir:v "The upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period." ]
  ] [
fhir:code [ fhir:v "4-dev" ] ;
fhir:display [ fhir:v "Quartile Deviation" ] ;
fhir:definition [ fhir:v "The difference between the upper and lower [Quartiles](https://en.wikipedia.org/wiki/Quartile) is called the Interquartile range. (IQR = Q3-Q1) Quartile deviation or Semi-interquartile range is one-half the difference between the first and the third quartiles." ]
  ] [
fhir:code [ fhir:v "5-1" ] ;
fhir:display [ fhir:v "1st Quintile" ] ;
fhir:definition [ fhir:v "The lowest of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population." ]
  ] [
fhir:code [ fhir:v "5-2" ] ;
fhir:display [ fhir:v "2nd Quintile" ] ;
fhir:definition [ fhir:v "The second of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population." ]
  ] [
fhir:code [ fhir:v "5-3" ] ;
fhir:display [ fhir:v "3rd Quintile" ] ;
fhir:definition [ fhir:v "The third of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population." ]
  ] [
fhir:code [ fhir:v "5-4" ] ;
fhir:display [ fhir:v "4th Quintile" ] ;
fhir:definition [ fhir:v "The fourth of four values that divide the N measurements into a frequency distribution of five classes with each containing one fifth of the total population." ]
  ] [
fhir:code [ fhir:v "skew" ] ;
fhir:display [ fhir:v "Skew" ] ;
fhir:definition [ fhir:v "Skewness is a measure of the asymmetry of the probability distribution of a real-valued random variable about its mean. The skewness value can be positive or negative, or even undefined.  Source: [Wikipedia](https://en.wikipedia.org/wiki/Skewness)." ]
  ] [
fhir:code [ fhir:v "kurtosis" ] ;
fhir:display [ fhir:v "Kurtosis" ] ;
fhir:definition [ fhir:v "Kurtosis  is a measure of the \"tailedness\" of the probability distribution of a real-valued random variable.   Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis)." ]
  ] [
fhir:code [ fhir:v "regression" ] ;
fhir:display [ fhir:v "Regression" ] ;
fhir:definition [ fhir:v "Linear regression is an approach for modeling two-dimensional sample points with one independent variable and one dependent variable (conventionally, the x and y coordinates in a Cartesian coordinate system) and finds a linear function (a non-vertical straight line) that, as accurately as possible, predicts the dependent variable values as a function of the independent variables. Source: [Wikipedia](https://en.wikipedia.org/wiki/Simple_linear_regression)  This Statistic code will return both a gradient and an intercept value." ]
  ] ) . #