ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science
An Examination of the Statistical Laws of Semantic Change in Clinical Notes.
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
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Who cites it
2 citing papers in PubMed.
- Evolving language of pediatric anxiety in electronic health records.JAMIA open · 2026Article
- Contextual Variation of Clinical Notes induced by EHR Migration.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
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Authors and funding
2 authors.
Funding
Abstract
Natural language is continually changing. Given the prevalence of unstructured, free-text clinical notes in the healthcare domain, understanding the aspects of this change is of critical importance to clinical Natural Language Processing (NLP) systems. In this study, we examine two previously described semantic change laws based on word frequency and polysemy, and analyze how they apply to the clinical domain. We also explore a new facet of change: whether domain-specific clinical terms exhibit different change patterns compared to general-purpose English. Using a corpus spanning eighteen years of clinical notes, we find that the previously described laws of semantic change hold for our data set. We also find that domain-specific biomedical terms change faster compared to general English words.
Indexed as
Identifiers
34457167PMC8378619What OpenQuestion holds
Registered trials
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