@prefix fhir: . @prefix owl: . @prefix rdfs: . @prefix xsd: . # - 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 "

This code system http://terminology.hl7.org/CodeSystem/observation-statistics defines the following codes:

CodeDisplayDefinition
average AverageThe [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
maximum MaximumThe [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
minimum MinimumThe [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
count CountThe [number] of valid measurements over the stated period that contributed to the other statistical outputs.
total-count Total CountThe total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
median MedianThe [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
std-dev Standard DeviationThe [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
sum SumThe [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
variance VarianceThe [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
20-percent 20th PercentileThe 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
80-percent 80th PercentileThe 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
4-lower Lower QuartileThe lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-upper Upper QuartileThe upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-dev Quartile DeviationThe 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.
5-1 1st QuintileThe 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.
5-2 2nd QuintileThe 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.
5-3 3rd QuintileThe 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.
5-4 4th QuintileThe 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.
skew SkewSkewness 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).
kurtosis KurtosisKurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).
regression RegressionLinear 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.
" ] ; # 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 "0.1.0"] ; # 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 "HL7 (FHIR Project)"] ; # fhir:contact ( [ fhir:telecom ( [ fhir:system [ fhir:v "url" ] ; fhir:value [ fhir:v "http://hl7.org/fhir" ] ] [ fhir:system [ fhir:v "email" ] ; fhir:value [ fhir:v "fhir@lists.hl7.org" ] ] ) ] ) ; # fhir:description [ fhir:v "The statistical operation parameter -\"statistic\" codes."] ; # fhir:caseSensitive [ fhir:v "true"^^xsd:boolean] ; # fhir:valueSet [ fhir:v "http://terminology.hl7.org/ValueSet/observation-statistics"^^xsd:anyURI ; fhir:link ] ; # 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." ] ] ) . # # -------------------------------------------------------------------------------------