Systematized Nomenclature of Medicine-Clinical Terms
Developed in Australia , Belgium , Brunei , Canada , Chile , Czech Republic , Denmark , Estonia , Hong Kong , Iceland , India , Israel , Lithuania , Malaysia , Malta , Netherlands , New Zealand , Norway , Poland , Portugal , Republic of Ireland , Singapore , Slovakia , Slovenia , Spain , Sweden , Switzerland , United Kingdom , United States of America , Uruguay
Created in 2005
Scope and data types
|online documentation||http://www.ihtsdo.org/snomed-ct/what-is- ...|
|SNOMED CT Browser||https://confluence.ihtsdotools.org/display/TOOLS/SNOMED+CT+Browser||2.0|
|SNOMED CT Component Identifier Service||https://confluence.ihtsdotools.org/display/TOOLS/SNOMED+CT+Component+I ...||1.0|
|SNOMED CT Mapping Tool||https://confluence.ihtsdotools.org/display/TOOLS/SNOMED+CT+Mapping+Too ...||1.0|
No XSD schemas defined
Conditions of UseApplies to: Data use
REST Web Services
|Identity Management Service||https://confluence.ihtsdotools.org/display/TOOLS/Identity+Management+S ...|
View in BioPortal.
No guidelines defined
No semantic standards defined
Models and Formats
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 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 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.
The Project Tycho® database aims are to advance the availability and use of public health data for science and policy. We do this by acquisition of new data, by building infrastructure for data standardization, integration, quality control, and data redistribution, by developing innovative analytics, and by advocacy. Project Tycho contains a complete digitization of the entire history of weekly National Notifiable Disease Surveillance System (NNDSS) reports for the United States (1888-2013) into a database in computable format (Level 3 data). We have standardized a major part of these data for online access (Level 2 data). A subset of the U.S. data was cleaned further and used for a study on the impact of vaccination programs in the United States that was recently published in the NEJM (Level 1 data).
This record is not implemented by any policy.
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