Rare disease diagnosis as an information retrieval task

Radu Dragusin, Paula Petcu, Christina Lioma, Birger Larsen, Henrik Jørgensen, Ole Winther

6 Citations (Scopus)
60 Downloads (Pure)

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 languageEnglish
Title of host publicationAdvances in Information Retrieval Theory : Third International Conference, ICTIR 2011, Bertinoro, Italy, September 12-14, 2011. Proceedings
EditorsGiambattista Amati, Fabio Crestani
Number of pages4
PublisherSpringer
Publication date2011
Pages356-359
ISBN (Print)978-3-642-23317-3
ISBN (Electronic)978-3-642-23318-0
DOIs
Publication statusPublished - 2011
Event3rd International Conference on Advances in Information Retrieval Theory - Bertinoro, Italy
Duration: 12 Sept 201114 Sept 2011
Conference number: 3

Conference

Conference3rd International Conference on Advances in Information Retrieval Theory
Number3
Country/TerritoryItaly
CityBertinoro
Period12/09/201114/09/2011
SeriesLecture notes in computer science
Volume6931
ISSN0302-9743

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