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4.4.1.620 Набор значений http://hl7.org/fhir/ValueSet/observation-statistics

Orders and Observations Work Group Maturity Level: 0Informative Use Context: Any

Это набор значений, определенный by the FHIR project.

Краткая сводка

URL определения: http://hl7.org/fhir/ValueSet/observation-statistics
Version:3.6.0
Name:StatisticsCode
Название:StatisticsCode
Определение:

The statistical operation parameter -"statistic" codes.

Комитет :Orders and Observations Work Group
OID:2.16.840.1.113883.4.642.3.405 (для терминологических систем на базе OID)
Исходники ресурса: XML / JSON

This value set is used in the following places:

  • CodeSystem: This value set is the designated 'entire code system' value set for StatisticsCode

This value set includes codes from the following code systems:

 

This expansion generated 17 May 2019


This value set contains 21 concepts

Expansion based on http://terminology.hl7.org/CodeSystem/observation-statistics version 3.6.0

All codes from system http://terminology.hl7.org/CodeSystem/observation-statistics

CodeDisplayDefinition
averageAverageThe [mean](https://en.wikipedia.org/wiki/Arithmetic_mean) of N measurements over the stated period.
maximumMaximumThe [maximum](https://en.wikipedia.org/wiki/Maximal_element) value of N measurements over the stated period.
minimumMinimumThe [minimum](https://en.wikipedia.org/wiki/Minimal_element) value of N measurements over the stated period.
countCountThe [number] of valid measurements over the stated period that contributed to the other statistical outputs.
total-countTotal CountThe total [number] of valid measurements over the stated period, including observations that were ignored because they did not contain valid result values.
medianMedianThe [median](https://en.wikipedia.org/wiki/Median) of N measurements over the stated period.
std-devStandard DeviationThe [standard deviation](https://en.wikipedia.org/wiki/Standard_deviation) of N measurements over the stated period.
sumSumThe [sum](https://en.wikipedia.org/wiki/Summation) of N measurements over the stated period.
varianceVarianceThe [variance](https://en.wikipedia.org/wiki/Variance) of N measurements over the stated period.
20-percent20th PercentileThe 20th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
80-percent80th PercentileThe 80th [Percentile](https://en.wikipedia.org/wiki/Percentile) of N measurements over the stated period.
4-lowerLower QuartileThe lower [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-upperUpper QuartileThe upper [Quartile](https://en.wikipedia.org/wiki/Quartile) Boundary of N measurements over the stated period.
4-devQuartile 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.
5-11st 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.
5-22nd 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.
5-33rd 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.
5-44th 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.
skewSkewSkewness 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).
kurtosisKurtosisKurtosis is a measure of the "tailedness" of the probability distribution of a real-valued random variable. Source: [Wikipedia](https://en.wikipedia.org/wiki/Kurtosis).
regressionRegressionLinear 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.

 

См. полный реестр наборов значений, определённых в рамках спецификации FHIR.


Пояснения к колонкам, которые могут появиться на этой странице:

Уровень Некоторые списки кодов могут быть иерархическими, где каждому коду присваивается некоторый уровень. For value sets, levels are mostly used to organize codes for user convenience, but may follow code system hierarchy - see Code System for further information
Источник Источник определения кода (если набор значений содержит коды, определённые где-то в другом месте)
Код Код (который используется в экземпляре ресурса). Если код выделен курсивом, значит его нельзя выбирать ('Abstract')
Значение для отображения Значение для отображения (используется в элементе display в кодинге). Если значение для отображения не указано, реализаторам следует не просто показывать код, а использовать мэппинг для такого концепта в своём приложении
Определение Объяснение смыслового значения концепта
Комментарии Дополнительная информация по использованию кода