Context for the indicators and transformations.
The context groups the indiators and within them the indicator classes and transformations may be defined. The contexts can be viewed as sets of indicators, on which specified transformations may be performed.
The full name of the context.
The summary of the context description.
Fill in the short and self-explanatory summary of the indicator class.
The definitions of abbreviations, terms and concepts utilized within the subsequent documentation.
All of the abbreviations, terms and concepts should be explained here.
The inclusion of the conetxt within other contexts (if applicable).
Describe all of the contexts (you may also reference them) in which this context gives sense (may occur as sub-context).
The context should be unambiguously identified to distinguish the contexts instances.
How the context instance is identified. Mandatory field - you should describe the data format, so that the human is able to enter it.
Unspecified comment - other relevant information.
Enter important objective information about the indicator class if necessary for the understanding. Do not enter your personal comments (use the REVIEW entity instead).
Argumentation to support the utilization of this context.
Enter the argumentation which supports the utilization of this conetxt. Use references.
Are there any controversies using this context?
Enter any controversial information which seriously impedes the utilization of this context.
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 of the context displayed by computer.
This name is used e.g. in the construction of the user interface. It should be either name or accepted abbreviation.
The author (or authors) of context description.
You may enter multiple authors.
Citation of published work
Define context, within which is this context valid (subcontext).
You may define the context, in which the context makes sense.
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.