standards > terminology artifact > DOI:10.25504/FAIRsharing.d88s6e


ready Systematized Nomenclature of Medicine-Clinical Terms

Abbreviation: SNOMEDCT


General Information
The Systematized Nomenclature of Medicine Clinical Terms is a reference terminology that can be used to cross-map standardized healthcare languages across healthcare disciplines.



How to cite this record FAIRsharing.org: SNOMEDCT; Systematized Nomenclature of Medicine-Clinical Terms; DOI: https://doi.org/10.25504/FAIRsharing.d88s6e; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 11 2018 3 a.m.


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Record updated: March 29, 2017, 8:10 a.m. by rdavidson.

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Publications

Standardized nursing language in the systematized nomenclature of medicine clinical terms: A cross-mapping validation method.

Lu DF,Eichmann D,Konicek D,Park HT,Ucharattana P,Delaney C
Comput Inform Nurs 2006

View Paper (PubMed)

SNOMEDCT Ontology Display

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Implementing Databases (5)
Human Protein Atlas
The Human Protein Atlas (HPA) portal is a publicly available database with millions of high-resolution images showing the spatial distribution of proteins in a number of different wild-type tissues, cancer types and human cell lines.

Orphanet
Orphanet is the reference resource for information on rare diseases and orphan drugs for all publics. Its aim is to contribute to the improvement of the diagnosis, care and treatment of patients with rare diseases. Orphanet maintains the Orphanet nomenclature, essential for interoperability, and the Orphanet Rare Disease Ontology (ORDO).

ClinVar
ClinVar is a freely accessible, public archive of reports of the relationships among human variations and phenotypes, with supporting evidence. ClinVar thus facilitates access to and communication about the relationships asserted between human variation and observed health status, and the history of that interpretation. ClinVar processes submissions reporting variants found in patient samples, assertions made regarding their clinical significance, information about the submitter, and other supporting data. The alleles described in submissions are mapped to reference sequences, and reported according to the HGVS standard. ClinVar then presents the data for interactive users as well as those wishing to use ClinVar in daily workflows and other local applications. ClinVar works in collaboration with interested organizations to meet the needs of the medical genetics community as efficiently and effectively as possible.

Microenvironment Perturbagen LINCS Center image server
The MEP LINCS project contributes to the development of the NIH Library of Integrated Network-based Cellular Signatures (LINCS) program by developing a dataset and computational strategy to elucidate how microenvironment (ME) signals affect cell intrinsic intracellular transcriptional- and protein-defined molecular networks to generate experimentally observable cellular phenotypes measured by high-content imaging.

Project Tycho: Data for Health
In 2013, we released the first version of Project Tycho containing weekly case counts for 50 notifiable conditions reported by health agencies in the United States for 50 states and 1284 cities between 1888 and 2014. Over the past four years, over 3700 users have registered to use Project Tycho data for a total of 40 creative works including peer-reviewed research papers, visualizations, online applications, and newspaper articles. Project Tycho 2.0 has expanded its scope to a global level and improved standardization, following FAIR (Findable, Accessible, Interoperable, and Reusable) Data Principles where possible. Project Tycho 2.0 includes case counts for 28 additional notifiable conditions for the US and includes data for dengue-related conditions for 99 countries between 1955 and 2010, obtained from the World Health Organization and Ministries of Health. Project Tycho 2.0 datasets are represented in a standard format and include standard SNOMED-CT codes for reported conditions, ISO 3166 codes for countries and first administrative level subdivisions, and NCBI TaxonID numbers for pathogens. Metadata for Project Tycho datasets are available on the website in human-readable format, but also in machine-interpretable DATS and DataCite metadata files.

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