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Do computer-generated summaries, "The Bottom Line (TBL)" accurately reflect published journal abstracts?
Oscencio Tom1, Paul Fontelo, Fang Liu
1Himmelfarb Health Sciences Library, The George Washington University Medicial Center, Washington DC 20037, USA.
AMIA ... Annual Symposium Proceedings. AMIA Symposium
|August 13, 2008
Summary
txt2MEDLINE offers SMS-based access to PubMed citations. The "Bottom Line" (TBL) algorithm shortens abstracts to fit text message limits, effectively conveying key information.
Area of Science:
- Biomedical Informatics
- Medical Library Science
Background:
- SMS technology enables mobile access to information.
- Limitations in SMS character count necessitate concise data presentation.
Purpose of the Study:
- To evaluate the effectiveness of the "Bottom Line" (TBL) algorithm for summarizing PubMed abstracts.
- To assess if TBL summaries retain essential information within SMS character constraints.
Main Methods:
- Development of the TBL algorithm to shorten full-length abstracts.
- Comparison of TBL-generated summaries against original abstracts.
Main Results:
- The TBL algorithm successfully reduces abstract length.
- TBL summaries appear to preserve the core elements of the original abstracts.
Conclusions:
- The TBL concept is a viable method for delivering key research findings via SMS.
- txt2MEDLINE, utilizing TBL, can facilitate efficient mobile access to biomedical literature.
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