Documentation: A generic data type extension specifying uncertainty of quantitative data using a distribution function and its parameters. Aside from the specific parameters of the distribution, a mean (expected value) and standard deviation is always given to help maintain a minimum layer of interoperability if receiving applications cannot deal with a certain probability distribution.

Superclasses

• DataValue

Subclasses

• None

Types

• HL7_Data_Type

Template Slots
	Slot Name	Documentation	Type	Cardinality
	distributionType	A code specifying the type of probability distribution. Possible values are as shown in the attached table. The NULL value (unknown) for the type code indicates that the probability distribution type is unknown. In that case, the standard deviation has the meaning of an informal guess.	CodedSimpleValue	0:1
	label	A short human readable string indicating the content of the instancehuman-readable string for the instance	String	0:1
	nullFlavor	If a value is an exceptional value (NULL-value), this specifies in what way and why proper information is missing.	Class	0:1
	standardDeviation	The primary measure of variance/uncertainty of the value (the square root of the sum of the squares of the differences between all data points and the mean). The standard deviation is used to normalize the data for computing the distribution function. Applications that cannot deal with probability distributions can still get an idea about the confidence level by looking at the standard deviation.	Quantity	0:1

Own Slots
	Slot Name	Value
	alias	PPD
	semantic_properties
	:ROLE	Concrete
	:SLOT-CONSTRAINTS

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