ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2013
Identifying synonymy between SNOMED clinical terms of varying length using distributional analysis of electronic health records.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Lexicon Development for COVID-19-related Concepts Using Open-source Word Embedding Sources: An Intrinsic and Extrinsic Evaluation.JMIR medical informatics · 2021Article
- Use of the Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) for Processing Free Text in Health Care: Systematic Scoping Review.Journal of medical Internet research · 2021Article
- Development of a Consumer Health Vocabulary by Mining Health Forum Texts Based on Word Embedding: Semiautomatic Approach.JMIR medical informatics · 2019Article
- Knowledge discovery for Deep Phenotyping serious mental illness from Electronic Mental Health records.F1000Research · 2018Article
- Ranking Medical Terms to Support Expansion of Lay Language Resources for Patient Comprehension of Electronic Health Record Notes: Adapted Distant Supervision Approach.JMIR medical informatics · 2017Article
- Enriching the international clinical nomenclature with Chinese daily used synonyms and concept recognition in physician notes.BMC medical informatics and decision making · 2017Article
- Expansion of medical vocabularies using distributional semantics on Japanese patient blogs.Journal of biomedical semantics · 2016Article
- Ensembles of randomized trees using diverse distributed representations of clinical events.BMC medical informatics and decision making · 2016Article
- Mining heart disease risk factors in clinical text with named entity recognition and distributional semantic models.Journal of biomedical informatics · 2015Article
- Synonym extraction and abbreviation expansion with ensembles of semantic spaces.Journal of biomedical semantics · 2014Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Medical terminologies and ontologies are important tools for natural language processing of health record narratives. To account for the variability of language use, synonyms need to be stored in a semantic resource as textual instantiations of a concept. Developing such resources manually is, however, prohibitively expensive and likely to result in low coverage. To facilitate and expedite the process of lexical resource development, distributional analysis of large corpora provides a powerful data-driven means of (semi-)automatically identifying semantic relations, including synonymy, between terms. In this paper, we demonstrate how distributional analysis of a large corpus of electronic health records - the MIMIC-II database - can be employed to extract synonyms of SNOMED CT preferred terms. A distinctive feature of our method is its ability to identify synonymous relations between terms of varying length.
Indexed as
Identifiers
24551362PMC3900203What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.