Rare disease diagnosis as an information retrieval task

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


  • ictir2011b

    Submitted manuscript, 240 KB, PDF document

  • Radu Dragusin
  • Paula Petcu
  • Lioma, Christina
  • Birger Larsen
  • Henrik Jørgensen
  • Ole Winther
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
Publication date2011
ISBN (Print)978-3-642-23317-3
ISBN (Electronic)978-3-642-23318-0
Publication statusPublished - 2011
Event3rd International Conference on Advances in Information Retrieval Theory - Bertinoro, Italy
Duration: 12 Sep 201114 Sep 2011
Conference number: 3


Conference3rd International Conference on Advances in Information Retrieval Theory
SeriesLecture notes in computer science

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