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Related Experiment Videos

Identifying concepts in medical knowledge

S J Nelson1, N E Olson, L Fuller

  • 1Department of Medicine, Medical College of Georgia, Augusta, Georgia 30912 USA.

Medinfo. MEDINFO
|January 1, 1995
PubMed
Summary
This summary is machine-generated.

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The barrier word method effectively identifies nominal phrases in medical texts. This approach aids in extracting key concepts and their relationships from large biomedical datasets.

Area of Science:

  • Natural Language Processing
  • Biomedical Informatics

Background:

  • Identifying nominal phrases is crucial for text analysis in medicine.
  • Existing methods may require extensive lists or struggle with domain-specific terminology.

Purpose of the Study:

  • To evaluate the barrier word method for nominal phrase identification in biomedical texts.
  • To assess the method's efficiency in extracting medical concepts and their co-occurrences.

Main Methods:

  • Applied the barrier word method to texts from the Medical Knowledge Self-Assessment Program and Principles and Practice of Oncology (PPO).
  • Utilized the UMLS Metathesaurus (Meta-1.4) for concept name matching.
  • Analyzed co-occurrences of identified concepts within PPO paragraphs.

Main Results:

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  • Achieved a 66% yield of nominal phrases from total chunks in the American College of Physicians sample.
  • Matched 38% of 500,000 isolated chunks to 10,000 concept names in UMLS Meta-1.4.
  • Found unique co-occurrences in 42 out of 50 randomly selected PPO paragraphs, reflecting paragraph themes.

Conclusions:

  • The barrier word method demonstrates effectiveness in identifying nominal phrases within biomedical literature.
  • The method facilitates the extraction of significant medical concepts and their relationships, aiding in knowledge discovery.