The transformation entity is designed to describe the algorithm which transforms the indicators from the input indicator classes to the output.
The transformation = algorithm, indicator-class = data it uses.
The full name of the transformation.
The summary of the transformation description.
Fill in the short and self-explanatory summary of the transformation.
The definitions of abbreviations, terms and concepts utilized within the subsequent documentation.
All of the abbreviations, terms and concepts should be explained here.
In which contexts does the transformation give sense.
Describe all of the contexts (you may also reference them) in which this transformation gives sense (may occur).
The description of the input data
Input data for the transformation - you may reference them.
The transformation (calculation) method.
Enter the method of transformation. Any nonstandard equations can be put on the image.
The output of the transformation.
Describe and reference all of the output indicators.
Unspecified comment - other relevant information.
Enter important objective information about the transformation if necessary for the understanding. Do not enter your personal comments (use the REVIEW entity instead).
Argumentation to support the utilization of this transformation
Enter the argumentation which supports the utilization of this transformation. Use references.
Are there any controversies using this transformation?
Enter any controversial information which seriously impedes the utilization of this transformation.
Fill in if there are any limits limiting the use of this indicator class.
For example if these data can not be utilized to evaluate aborigin population, enter it here.
The name which is used for this transformation when processed by computer.
The data used to test the transformation.
If we want to test the implementation, you may define test data.
The author (or authors) of transformation
You may enter multiple authors.
Citation of published work
Define context in which this transformation may be performed.
The transformation will be applied only in the predefined (base) contexts.
The mandatory input for this transformation.
The transformation can have some mandatory and some optional inputs.
The optional input for this transformation.
The transformation can have some mandatory and some optional inputs.
The input contexts of the transformation.
If the transformation goes behind the context it is valid in, reference the contexts here.
The output of the transformation
Medical SubHeadings
Enter the MeSH classification elements.
The UMLS concepts.
Enter the UMLS concept list.
The chapter of the MEDAL project, to which this algorithm should belong to.
The MEDAL project is the biggest reference collection of algorithms. Select the chapter number, to whit this entity belong to.