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Mining and standardizing chinese consumer health terms.

Li Hou1, Hongyu Kang1, Yan Liu1

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Summary

This study created a Chinese consumer health vocabulary by mapping everyday health terms to professional medical language. This resource aims to improve communication and reduce diagnostic bias between patients and healthcare providers.

Keywords:
AnnotationConsumer health termsConsumer health vocabularyMedical termsTerm mapping

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Area of Science:

  • Medical Informatics
  • Natural Language Processing
  • Health Communication

Background:

  • Communication barriers exist between healthcare professionals and consumers due to differing terminology.
  • Misunderstandings can lead to diagnostic or treatment bias.
  • A consumer health vocabulary is needed to bridge this terminology gap.

Purpose of the Study:

  • To develop a Chinese consumer health vocabulary.
  • To map consumer-used health terms to professional medical terms.
  • To improve health communication and reduce diagnostic errors.

Main Methods:

  • Extracted Chinese consumer health terms from online health forums and patient education monographs.
  • Manually mapped extracted terms to professional medical terms using annotation guidelines.
  • Ensured annotation quality through inter-annotator agreement (IAA) scoring.

Main Results:

  • Identified 1349 medical mentions from 8436 forum questions and 1428 patient education articles.
  • Released 1036 Chinese consumer health terms mapped to 480 professional medical terms.
  • Achieved an average IAA score of 93.91% among four annotators.

Conclusions:

  • Successfully created a mapping between Chinese consumer health terms and professional medical terms.
  • The developed Chinese consumer health vocabulary aids in constructing a comprehensive resource.
  • The annotated corpus serves as a valuable dataset for developing automatic methodologies in health informatics.