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Переводит команда Health Samurai . Приглашаем поучаствовать в русификации стандарта FHIR: GitHub , Email. Набор значений

FHIR Infrastructure Work Group Maturity Level: 0Informative Use Context: Any

Это набор значений, определенный by the FHIR project.

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URL определения:

Codes specifying the type of probability distribution.

Комитет :FHIR Infrastructure Work Group
OID:2.16.840.1.113883.4.642.3.907 (для терминологических систем на базе OID)
Исходники ресурса: XML / JSON

This value set is used in the following places:

This value set includes codes from the following code systems:

  • Include these codes as defined in
    BbetaThe beta-distribution is used for data that is bounded on both sides and might or might not be skewed (e.g., occurs when probabilities are estimated.) Two parameters a and b are available to adjust the curve. The mean m and variance s2 relate as follows: m = a/ (a + b) and s2 = ab/((a + b)2 (a + b + 1)).
    EexponentialUsed for data that describes extinction. The exponential distribution is a special form of g-distribution where a = 1, hence, the relationship to mean m and variance s2 are m = b and s2 = b2.
    FFUsed to describe the quotient of two c2 random variables. The F-distribution has two parameters n1 and n2, which are the numbers of degrees of freedom of the numerator and denominator variable respectively. The relationship to mean m and variance s2 are: m = n2 / (n2 - 2) and s2 = (2 n2 (n2 + n1 - 2)) / (n1 (n2 - 2)2 (n2 - 4)).
    G(gamma)The gamma-distribution used for data that is skewed and bounded to the right, i.e. where the maximum of the distribution curve is located near the origin. The g-distribution has a two parameters a and b. The relationship to mean m and variance s2 is m = a b and s2 = a b2.
    LNlog-normalThe logarithmic normal distribution is used to transform skewed random variable X into a normally distributed random variable U = log X. The log-normal distribution can be specified with the properties mean m and standard deviation s. Note however that mean m and standard deviation s are the parameters of the raw value distribution, not the transformed parameters of the lognormal distribution that are conventionally referred to by the same letters. Those log-normal parameters mlog and slog relate to the mean m and standard deviation s of the data value through slog2 = log (s2/m2 + 1) and mlog = log m - slog2/2.
    Nnormal (Gaussian)This is the well-known bell-shaped normal distribution. Because of the central limit theorem, the normal distribution is the distribution of choice for an unbounded random variable that is an outcome of a combination of many stochastic processes. Even for values bounded on a single side (i.e. greater than 0) the normal distribution may be accurate enough if the mean is "far away" from the bound of the scale measured in terms of standard deviations.
    TTUsed to describe the quotient of a normal random variable and the square root of a c2 random variable. The t-distribution has one parameter n, the number of degrees of freedom. The relationship to mean m and variance s2 are: m = 0 and s2 = n / (n - 2)
    UuniformThe uniform distribution assigns a constant probability over the entire interval of possible outcomes, while all outcomes outside this interval are assumed to have zero probability. The width of this interval is 2s sqrt(3). Thus, the uniform distribution assigns the probability densities f(x) = sqrt(2 s sqrt(3)) to values m - s sqrt(3) >= x <= m + s sqrt(3) and f(x) = 0 otherwise.
    X2chi squareUsed to describe the sum of squares of random variables which occurs when a variance is estimated (rather than presumed) from the sample. The only parameter of the c2-distribution is n, so called the number of degrees of freedom (which is the number of independent parts in the sum). The c2-distribution is a special type of g-distribution with parameter a = n /2 and b = 2. Hence, m = n and s2 = 2 n.


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