Rare disease diagnosis as an information retrieval task

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

Research output: Contribution to conference without publisher/journalPosterResearchpeer-review

7 Citations (Scopus)

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 keywordbased 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
Publication date2011
Number of pages4
DOIs
Publication statusPublished - 2011
Externally publishedYes

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