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resources :: Semantic Web resources
people, projects, papers, products and whatever else you need to keep in touch with semantic web.
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Semantic Web in Medicine
A repository of links to projects related to medicine and Semantic Web
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Unified Medical Language System [link]
The Unified Medical Language System (UMLS)
project was initiated in 1986 by the U.S. National
Library of Medicine (NLM). Its goal is to help health
professionals and researchers use biomedical
information from different sources1. It consists of
three main knowledge repositories:
- The UMLS
Metathesaurus, which provides a common structure
for more than 95 source biomedical vocabularies. It
is organized by concept, which is a cluster of terms
(e.g., synonyms, lexical variants, translations) with
the same meaning.
- The UMLS Semantic
Network2, which categorizes these concepts through
semantic types and relationships.
- The
SPECIALIST lexicon contains over 30,000 English
words, including many biomedical terms.
Information for each entry, including base form,
spelling variants, syntactic category, inflectional
variation of nouns and conjugation of verbs, is used
by the lexical tools. The 2002 version of the
Metathesaurus contains 871,584 concepts named by
2.1 million terms. It also includes inter-concept
relationships across multiple vocabularies, concept
categorization, and information on concept cooccurrence
in MEDLINE.
NLM's Unified Medical Language System (UMLS) project develops and distributes multi-purpose, electronic "Knowledge Sources" and associated lexical programs. System developers can use the UMLS products to enhance their applications -- in systems focused on patient data, digital libraries, Web and bibliographic retrieval, natural language processing, and decision support.
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SNOMED CT® - Systematized Nomenclature of Medicine Clinical Terms [link]
SNOMED Clinical Terms® (SNOMED CT®) is a comprehensive and precise clinical reference terminology that health care providers, health care information technology suppliers, providers, payers, purchasers and institutional researchers can use to improve the comparability of data.
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National Cancer Institute Thesaurus [link]
The NCI Thesaurus is a public domain description logic-based terminology produced by the National Cancer Institute, distributed as a component of the NCI Center for Bioinformatics caCORE distribution[1]. It is deep and complex compared to most broad clinical vocabularies, implementing rich semantic interrelationships between the nodes of its taxonomies. The semantic relationships in the Thesaurus are intended to facilitate translational research and to support the bioinformatics infrastructure of the Institute. Topics described in the ontology include diseases, drugs, chemicals, diagnoses, genes, treatments, anatomy, organisms, and proteins.
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NCI Metathesaurus Browser [link]
The public version of NCI Metathesaurus currently contains all public domain vocabularies from the National Library of Medicine's UMLS Metathesaurus, as well as a growing number of NCI-specific vocabularies developed by the National Cancer Institute.
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HL7 - Health Level Seven [link]
Health Level 7 (HL7) is a standards creating organization that specializes in healthcare information technology issues. HL7 consists of an international
committee of professionals. It creates standards according to the guidelines mandated by the American National Standards Institute (ANSI).
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HL7 Reference Information Model [link]
It is a medical informatics messaging standard constructed to facilitate consistent sharing and usage of data across multiple "local" contexts.
In general, the broader the scope of interest, the more important it is to make explicit all assumptions about a topic or domain-of-interest. The HL7 Version 3 RIM is designed to provide a unified framework for, and to serve as a comprehensive source of, all information used by an HL7 Specification . The RIM specifically and unambiguously articulates both the explicit definitions of healthcare concepts - the "things of interest" to the world of healthcare information systems - and the relationships (aka "associations") between these concepts-of-interest.
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ICF - International Classification of Functioning, Disability and Health [link]
As a new member of WHO Family of International Classifications, ICF describes how people live with their health condition. ICF is a classification of health and health related domains that describe body functions and structures, activities and participation. The domains are classified from body, individual and societal perspectives. Since an individual's functioning and disability occurs in a context, ICF also includes a list of environmental factors.
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LOINC® - Logical Observation Identifiers Names and Codes [link]
LOINC codes are universal identifiers for laboratory and other clinical observations. The purpose of the LOINC codes is to facilitate the exchange and pooling of results, such as blood hemoglobin, serum potassium, or vital signs, for clinical care, outcomes management, and research.
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CPT® - Current Procedural Terminology [link]
A systematic coding system for reporting medical services and procedures performed by physicians (e.g., administration of injectable drugs, evaluation and management services).
CPT was developed by the American Medical Association (AMA) in the 1960s, and soon became part of the standard code set for Medicare and Medicaid. In subsequent decades. It was also adopted by private insurance carriers and managed care companies, and has now become the de facto standard for reporting health care services.
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HCPCS - Healthcare Common Procedure Coding System [link]
The Healthcare Common Procedural Coding System (HCPCS) details approximately 2,500 supplementary codes required for supplies and services not listed in the CPT. These codes are referred to as level II codes, with CPT and local codes being levels I & III respectively
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Vipul Kashyap's hompage [link]
He is a Research Fellow at the National Library of Medicine he is currently working in the Lister Hill National Center on Biomedical Communicationson issues relating to the Semantic Web and Medical Ontologies
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