snorocket™ is an implementation of the Dresden algorithm that is tuned for classifying the SNOMED CT clinical terminology. As the name suggests, snorocket™ is fast, able to classify SNOMED CT at least an order of magnitude faster than other known classifiers. snorocket™ will underpin the development of other solutions at AEHRC which use the SNOMED CT terminology for integrating, querying or retrieving health and health related data. snorocket™ provides a simple API for supporting third party tools with the need for fast classification of large ontologies.
A number of extensions for SNOMED CT are now being developed by standards bodies world wide. The development and use of specific extensions, for particular diseases or domains (e.g., pharmaceuticals) will require tools, such as snorocket™, which can process these complex knowledge bases. Below is an image of a small part of the SNOMED CT ontology with ICD 10 codes added as a specific extension. snorocket™ is able to process the complete extended ontology in under a minute.
For more information about SNOMED CT see the SNOMED CT project page.
Contact
Dr David Hansen
Project Leader, Health Information Environment
+61 7 3024 1600
Email
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Updated: 09-May-2008