Automatic annotation of French medical narratives with SNOMED CT concepts
نویسندگان
چکیده
منابع مشابه
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...
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BACKGROUND In this paper, we describe the design and preliminary evaluation of a new type of tools to speed up the encoding of episodes of care using the SNOMED CT terminology. METHODS The proposed system can be used either as a search tool to browse the terminology or as a categorization tool to support automatic annotation of textual contents with SNOMED concepts. The general strategy is si...
متن کاملUsing 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 (...
متن کاملAssisting the Translation of SNOMED CT into French
The objective of this study is to evaluate to approaches assisting the translation of SNOMED CT into French. Two types of approaches were combined: a concept-based one, which relies on conceptual information of the UMLS Metathesaurus and a lexical-based one, which relieson NLP techniques. In addition to the French terminologies (whether included in UMLS or not). Using the concept-based approach...
متن کاملFrequency analysis of medical concepts in clinical trials and their coverage in MeSH and SNOMED-CT.
BACKGROUND Eligibility criteria (EC) of clinical trials play a key role in selecting appropriate study candidates and the validity of the outcome of a clinical trial. However, in most cases EC are provided in unstandardised ways such as free text, which raises significant challenges for machine-readability. OBJECTIVES To establish a list of most frequent medical concepts in clinical trials wi...
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ژورنال
عنوان ژورنال: Swiss Medical Informatics
سال: 2018
ISSN: 2296-0406,1660-0436
DOI: 10.4414/smi.34.00418