Abstract
Increasingly more clinicians use web Information Retrieval (IR) systems to assist them in diagnosing difficult medical cases, for instance rare diseases that they may not be familiar with. However, web IR systems are not necessarily optimised for this task. For instance, clinicians’ queries tend to be long lists of symptoms, often containing phrases, whereas web IR systems typically expect very short keyword-based queries. Motivated by such differences, this work uses a preliminary study of 30 clinical cases to reflect on rare disease retrieval as an IR task. Initial experiments using both Google web search and offline retrieval from a rare disease collection indicate that the retrieval of rare diseases is an open problem with room for improvement.
Original language | English |
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Title of host publication | Advances in Information Retrieval Theory : Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings |
Editors | Giambattista Amati, Fabio Crestani |
Number of pages | 4 |
Publisher | Springer |
Publication date | 2011 |
Pages | 356-359 |
ISBN (Print) | 978-3-642-23317-3 |
ISBN (Electronic) | 978-3-642-23318-0 |
DOIs | |
Publication status | Published - 2011 |
Event | 3rd International Conference on Advances in Information Retrieval Theory - Bertinoro, Italy Duration: 12 Sept 2011 → 14 Sept 2011 Conference number: 3 |
Conference
Conference | 3rd International Conference on Advances in Information Retrieval Theory |
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Number | 3 |
Country/Territory | Italy |
City | Bertinoro |
Period | 12/09/2011 → 14/09/2011 |
Series | Lecture notes in computer science |
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Volume | 6931 |
ISSN | 0302-9743 |