Investigating the lexico-syntactic properties of phenotype terms – Application to interoperability between HPO and SNOMED CT
نویسندگان
چکیده
Objective: To investigate the lexico-syntactic properties of clinical phenotype terms in order to identify partial lexical mappings between HPO and SNOMED CT. Methods: We identify modifiers HPO terms and attempt to map demodified terms to SNOMED CT through UMLS. Results: We identified partial mappings to SNOMED CT for 20% of HPO concepts with no complete mapping to SNOMED CT. Conclusions: Through complete and partial mappings, 50% of the HPO concepts can be mapped to SNOMED CT.
منابع مشابه
Interoperability between phenotypes in research and healthcare terminologies—Investigating partial mappings between HPO and SNOMED CT
BACKGROUND Identifying partial mappings between two terminologies is of special importance when one terminology is finer-grained than the other, as is the case for the Human Phenotype Ontology (HPO), mainly used for research purposes, and SNOMED CT, mainly used in healthcare. OBJECTIVES To investigate and contrast lexical and logical approaches to deriving partial mappings between HPO and SNO...
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Introduction The quality assurance of large bio-ontologies is extremely critical for their effective and continued use and is an active area of research1. For example, recent investigations highlighted issues in the hierarchical structure of SNOMED CT and its detrimental effects on biomedical applications2. Previous work by one of the authors3 established a method to identify potentially missin...
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OBJECTIVES To extend the coverage of phenotypes in SNOMED CT through post-coordination. METHODS We identify frequent modifiers in terms from the Human Phenotype Ontology (HPO), which we associate with templates for post-coordinated expressions in SNOMED CT. RESULTS We identified 176 modifiers, created 12 templates, and generated 1,617 post-coordinated expressions. CONCLUSIONS Through this...
متن کاملبررسی تطبیقی سیر تکامل و ساختار سیستم های نامگذاری نظام یافته پزشکی SNOMED در کشورهای آمریکا ، انگلستان و استرالیا 86-85
Background and Aim: Systematized Nomenclature of Medicine systems are the important supportive for electronic health record in registration and retrieval of data. Systematized Nomenclature of Medicine - Clinical Terms (SNOMED CT) is the most comprehensive language and then the consistency of exchanged data across health care providers and finally the high effectiveness of health care. Material...
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Objective: To assess the coverage of the Human Phenotype Ontology (HPO) phenotypes in standard terminologies. Methods: We map HPO terms to the UMLS and its source terminologies and compare these lexical mappings to HPO cross-references. Results: Coverage of HPO classes in UMLS is 54% and 30% in SNOMED CT. Lexical mappings largely outnumber cross-references. Conclusions: Our approach can support...
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