Asia pacific journal of information systems
- 제25권4호
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- Pages.686-711
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- 2015
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- 2288-5404(pISSN)
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- 2288-6818(eISSN)
DOI QR Code
Known-Item Retrieval Performance of a PICO-based Medical Question Answering Engine
- Vong, Wan-Tze (Faculty of Engineering, Computing and Science, Swinburne University of Technology) ;
- Then, Patrick Hang Hui (Faculty of Engineering, Computing and Science, Swinburne University of Technology)
- 투고 : 2015.04.22
- 심사 : 2015.08.31
- 발행 : 2015.12.31
초록
The performance of a novel medical question-answering engine called CliniCluster and existing search engines, such as CQA-1.0, Google, and Google Scholar, was evaluated using known-item searching. Known-item searching is a document that has been critically appraised to be highly relevant to a therapy question. Results show that, using CliniCluster, known-items were retrieved on average at rank 2 (
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