Semantic Tagging of Medical Narratives with Top Level Concepts from SNOMED CT Healthcare Data Standard

Semantic Tagging of Medical Narratives with Top Level Concepts from SNOMED CT Healthcare Data Standard

Medical narratives written by clinicians constitute critical information in healthcare domain and are required to be correct with respect to contextual meaning. SNOMED CT (Systematized Nomenclature of Medicine -Clinical Terms) is a standardized reference terminology that consists of 390023 SNOMED CT concepts with SNOMED CT codes. This paper describes the extraction of SNOMED CT concepts from fr...

Data Analytics with SNOMED CT

Towards Semantic Interoperability in Healthcare: Ontology Mapping from SNOMED-CT to HL7 version 3

One of the most successful Healthcare Information Models is version 2 of the Health Level 7 (HL7) standard. However, this standard has various problems, mainly its lack of semantic interoperability. This shortfall was addressed in HL7 Version 3, a newer standard which has been designed to solve this problem. Total semantic interoperability cannot be achieved without defined terminology, and to ...

Using SNOMED CT Concepts for PAIRS

SNOMED CT medical vocabulary can be used to identify complementary features in a database. This functionality is used to develop a natural language processor (NLP) for PAIRS (Physician Assistant Artificial Intelligence Reference System). Although about 99% of concepts in PAIRS are present in SNOMED CT some features missing in it makes it unacceptable for any diagnostic decision support system (...

SnoMedTagger: A Semantic Tagger for Medical Narratives

The identification and classification of semantic information in medical narratives is critical for various research applications such as question-answering systems, statistical analysis, etc. Our contribution is a novel semantic tagger named SnoMedTagger to tag complex semantic information (paraphrases of concepts, abbreviations of concepts, complex multiword concepts) with 16 SNOMED CT semant...