ONOMASIOLOGICAL FEATURES OF DISEASE NAMES IN DIFFERENT SYSTEMATIC LANGUAGES

The study of disease names across various languages offers valuable insights into the intersection of medical terminology and linguistic structures. This article examines the onomasiological features—essentially, how diseases are named and classified—across different systematic languages, exploring how linguistic and cultural contexts influence disease nomenclature. By analyzing these features, we aim to understand how different languages systematize disease names, the implications for medical communication, and the potential impacts on global health practices.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-16
DOI
https://doi.org/10.5281/zenodo.15429636
Primary Topic
Biomedical Text Mining and Ontologies
Type
article
Field-Weighted Citation Impact
0.00
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article

ONOMASIOLOGICAL FEATURES OF DISEASE NAMES IN DIFFERENT SYSTEMATIC LANGUAGES

Zenodo (CERN European Organization for Nuclear Research)
Biomedical Text Mining and Ontologies
article

ONOMASIOLOGICAL FEATURES OF DISEASE NAMES IN DIFFERENT SYSTEMATIC LANGUAGES

article en

Abstract

The study of disease names across various languages offers valuable insights into the intersection of medical terminology and linguistic structures. This article examines the onomasiological features—essentially, how diseases are named and classified—across different systematic languages, exploring how linguistic and cultural contexts influence disease nomenclature. By analyzing these features, we aim to understand how different languages systematize disease names, the implications for medical communication, and the potential impacts on global health practices.

Zenodo (CERN European Organization for Nuclear Research)
Quality Education
Openalex Percentile: Top 53%
Biomedical Text Mining and Ontologies
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ONOMASIOLOGICAL FEATURES OF DISEASE NAMES IN DIFFERENT SYSTEMATIC LANGUAGES · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS