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Optional _metadataxml_ content
<MultiplyingFactor> Conversion unit multiplication fact. Migration of unmigrated content due to installation of a new plugin1.6.09 Release Notes
are defined below. Operator Description Starting with The results returned will contain only those facts whose value begins with the text entered in the search box. Ending with The results returned will contain only those facts whose value ends with the text enteredi2b2 REDCap Integration Session
Highlights: SEINE - Synthesizing EDC IDR Network Exchange REDCap Forms, Fields, Data into i2b2 Folders, Concepts, and facts Use Case: Pilot project722. Naming concepts and folders
be shared equally between the prefixes and the suffix. Codes are usually not shown to the user but are an affiliation of concept and fact. Therefore, it could346. Import from MDR
in a clinical trial and a second concept gender in a registry, there is no way of recognizing whether they are equivalent. In fact, from i2b2's perspectiveNLP cTakes Home
and i2b2 by formatting the output of cTAKES into the i2b2 observation_fact table format (facts, concepts, modifiers, and values) which can then be easily712. Query Optimization
facts stored in the OBSERVATION_FACT table. If you installation contains fact data in other tables (e.g. PATIENT_DIMENSION) the script will need to be adapted … the function to gather the statistics of the i2b2 schema. The placeholder [SCHEMA] needs to be replaced with the name of the schema containing the i2b2 factAUG Email 2012-Sep
Last Updated: 03/18/2013 i2b2 Timeline performance with 800M+ facts [09-26-2012] From: Dan Connolly [dconnolly.kumc] Sent: Wednesday, September 26, 2012 3:03 PM To: i2b2 AUG Members Subject: i2b2 timeline performance with 800M+ facts? Performance of the i2b2 timeline was OK (a few seconds latency) until ourAUG Email 2013-Feb
( patient(1) -> specimen ( n )-> facts_about_specimen( n ) ). Also the normal functionalities of i2b2 for querying facts and getting the patient ( patient(1) -> patient_facts ( n ) ) should be available at the same time. We used modifiers to bundle all the concepts of the ontology which were about the specimen facts. WeRepresenting Allergies in Star Schema with modifiers
codes, one could use a schema like this: The main fact is the SNOMED code for reaction (= disease in a sense) SNO:xxxxxxxxx