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Knowledge of anatomy is essential to understand human biology and medicine. Anatomists and health care professionals use standard terminology to describe the human body with more precision and no ambiguity. Anatomical terms have mostly Greek and Latin-derived roots. Because these languages are rarely used in conversation, the meaning of words remains the same. Each term is made up of a root in between the prefixes and suffixes. The root of a term often refers to an organ, tissue, or condition,...
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Related Experiment Video

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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Tracking Knowledge Evolution Based on the Terminology Dynamics in 4P-Medicine.

Aida Khakimova1, Xuejie Yang2, Oleg Zolotarev3

  • 1Autonomous Nonprofit Organization, Research Center for Physical and Technical Informatics, Nizhny Novgorod 603098, Russia.

International Journal of Environmental Research and Public Health
|October 17, 2020
PubMed
Summary

Scientific terminology in 4P medicine is rapidly evolving. This study introduces new methods to analyze and visualize these changes, using PubMed data to track term dynamics and structure multilingual information.

Keywords:
4P-medicineWebVRcyberspaceinformative terminterlanguage semantic similaritymegalemmamegatokenvirtual reality

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Area of Science:

  • Medical Informatics
  • Computational Linguistics
  • Bioinformatics

Background:

  • The rapid advancement of 4P medicine (Predictive, Preventive, Personalized, and Participatory) necessitates tracking evolving scientific terminology.
  • Existing methods struggle with the unstructured and multilingual nature of this data.

Purpose of the Study:

  • To identify and analyze trends in 4P medicine terminology development.
  • To develop methods for structuring and visualizing evolving scientific terms.

Main Methods:

  • Extraction of terms from the PubMed database.
  • Statistical analysis of term formation and collocations.
  • Development of linguistic constructs (megatokens) for cross-lingual term grouping.
  • Application of modern visualization technologies for term cyberspace construction.

Main Results:

  • Demonstrated temporal dynamics in the formation of medical term derivatives and collocations.
  • Successfully combined cross-lingual terms into common semantic fields using megatokens.
  • Developed a visualized cyberspace of terms.

Conclusions:

  • The proposed approaches effectively address the challenge of structuring multilingual and heterogeneous information in 4P medicine.
  • The methods provide valuable tools for understanding the evolution of scientific terminology in this field.