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Methods for exploring the semantics of the relationships between co-occurring UMLS concepts
1U.S. National Library of Medicine, Bethesda, MD 20894, USA. burgun@nlm.nih.gov
Studies in Health Technology and Informatics
|October 18, 2001
Summary
This study analyzed relationships between biomedical concepts in medical literature. It found that 6.5% of co-occurring concepts were related within the Unified Medical Language System (UMLS) hierarchy, particularly in drug and disorder categories.
Area of Science:
- Biomedical Informatics
- Medical Subject Headings (MeSH)
- Unified Medical Language System (UMLS)
Background:
- Understanding relationships between biomedical concepts is crucial for knowledge discovery in medical literature.
- The Unified Medical Language System (UMLS) provides a rich resource for analyzing these relationships.
- Previous studies have explored concept co-occurrence, but a systematic analysis using UMLS semantic information is needed.
Purpose of the Study:
- To characterize the relationships among UMLS concepts that co-occur as MeSH descriptors in MEDLINE citations from 1990-1999.
- To investigate the overlap between symbolic and statistical information within the UMLS.
- To leverage UMLS Semantic Network and Semantic Groups for relationship representation.
Main Methods:
- Analyzed 7,928,608 directed pairs of co-occurring concepts from 18,485 UMLS concepts in MEDLINE citations.
- Built the "family" of concept C1 using the UMLS Metathesaurus to test if concept C2 belonged to it.
- Utilized UMLS Semantic Network and Semantic Groups to represent the semantics of concept relationships.
Main Results:
- In 6.5% of directed pairs, the co-occurring concept C2 was found within the "family" of C1.
- The most frequent co-occurrences involved "Chemicals and Drugs" with itself, and "Disorders" with "Chemicals and Drugs".
- Detailed findings on specific concept relationships are presented in the full study.
Conclusions:
- This research effectively combines symbolic and statistical information from the UMLS to analyze concept relationships.
- The findings highlight the utility of the UMLS for understanding biomedical knowledge structures.
- Further research is recommended to explore the implications of these identified relationships.
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