In the latest 6.5 release of VOCabs, we have added the following new vocabularies.
The Emtree VOCab pack, based on Elsevier’s Emtree taxonomy includes 90,000+ drug, disease, medical devices, essential life science and broader society and environment entities. SciBite has further enriched and optimized these thesauri using our proprietary tools and manual curation, with rules and additional vocabularies to generate the Emtree VOCab pack with 2.5 million synonyms. For the first time users can annotate both proprietary and public text-based datasets to this standard, the underlying index that is used to structure Embase, Elsevier’s comprehensive biomedical literature database.
The VOCab pack includes five dictionaries including:
Emtree_Devices, which includes the Medical Device Trade and General Names, and Global Medical Device Nomenclature (GMDN), supports those involved in the manufacture and conformity of medical devices. Analysts can use this vocabulary to identify a wide variety of medical devices for effectiveness studies, regulatory submissions to product-vigilance activities.
The Emtree_Procedures dictionary includes an extensive collection of scientific, procedural and statistical techniques organised by subject. Users are able to couple this Emtree vocabulary with SciBite’s extensive biomedical dictionaries to serve a host of use cases, for example identify suitable methods for gene-sequencing or analyse the adverse events of drugs in rechallenge studies.
The Emtree_Healthcare includes concepts related to health care from multiple dictionaries, including health care facilities and services, management, organizations, personnel, quality and economics.
Emtree_SocEnv is a much broader branch featuring more holistic societal and environmental terms.
SciBite’s enriched SEQONT module developed from the Sequence Ontology (SO) includes terms used to describe the features, attributes, collections and variants of biological sequences, such as reference_genome, chromosome_breakpoint and dominant_negative_variant. Identifying features in gene regulatory networks and disease pathways, make them interesting entities for biomedical studies, for example target druggability, and with TERMite, SciBite’s named entity recognition platform, researchers can now more easily identify and annotate text containing these descriptors.
In addition to the new vocabularies, we have updated the following vocabularies using the latest available public data:
For more information about SciBite’s VOCabs and SciBite products, contact us here.
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