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Profile-based retrieval of records in medical databases
Anastasios Kementsietsidis1, Lipyeow Lim, Min Wang
1IBM T.J. Watson Research Center, 19 Skyline Drive, Hawthorne, NY 10532, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|March 31, 2010
Summary
This study introduces an algorithm for ontology-supported medical record retrieval, improving upon keyword-based methods. The approach enhances querying capabilities for better access to health information.
Area of Science:
- Medical Informatics
- Computer Science
- Information Retrieval
Background:
- Ontologies define term relationships but are underutilized for querying.
- Existing keyword-based retrieval for medical records has limitations.
Purpose of the Study:
- To explore ontology-supported profile-based retrieval of medical records.
- To address shortcomings of current keyword-based medical record search.
Main Methods:
- Developed an algorithm for ontology-supported medical record retrieval.
- Implemented two independent techniques, usable together or separately.
- Conducted experiments to validate the approach.
Main Results:
- The proposed algorithm offers improved medical record retrieval.
- Demonstrated the effectiveness of the independent and combined techniques.
- Experimental results highlight the approach's advantages over keyword-based methods.
Conclusions:
- Ontology-supported retrieval significantly enhances medical record querying.
- The presented algorithm provides a robust solution for profile-based medical record access.
- Further research can leverage ontologies for more sophisticated health information retrieval.
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