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Pre condition: Ability to use FHIR and MLFirstly, our dataset is obtained from kaggle and transformed into FHIR resources based on patient gender, age, ALP or ALT, and imported into

ListStreamletIds - this can return a list of streamlet IDs (in the aggregation cache) corresponding to a patient in the viewer.2.

Note: For *implanted devices* this means that the device is implanted in the patient." }, { "code" : "inactive", "display" : "Inactive", "definition" : "The device is no

The sequence descriptions are indexed using the IRIS NLP (iKnow) technology, to allow exploring and searching for semantic concepts used in describing sequences besides looking for

I do have a workaround that uses class index, but this query lists all classes available in the namespace and I have to filter those I want.

Python - Build intelligent Interoperability business processes with Python Interoperability Adapter - Save, examine, modify and restore Python context from InterSystems IRIS # Index

Found useful index: write ##class(Ens.Config.Item).NameExists(##class(Ens.Director).GetActiveProductionName(),"HostName") How about: &sql(select count(*) into :tDefined from

Larger index but less elements to check- don't care about number of inidces you generate.

For instance, an Index on a Property. Or a Foreign Key declaration for one.

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: 0 type: "fd" - index: 1 type: "char_buf" returnCopy: true - index: 2 type: "size_t" selectors: - matchActions: - action: Sigkill

Indeed, Co-lab/Jupyter notebooks have significantly simplified the process of running code.

pertinent data chunks from the index utilizing a retriever component.

%ConstructClone()//get all the fields within the segmentset tIndex =0 while $FIND(tSegIn.OutputToString(),"©",tIndex) > 0 { set mystr =$Replace(tSegIn.OutputToString(),"©","(C

1, RANKERCLASS = "%iFind.Rank.Analytic"); Where contentInd is the name of the index and content is the name of the field that we are creating an index for.