Literature DB >> 22874348

Log analysis to understand medical professionals' image searching behaviour.

Theodora Tsikrika1, Henning Müller, Charles E Kahn.   

Abstract

This paper reports on the analysis of the query logs of a visual medical information retrieval system that provides access to radiology resources. Our analysis shows that, despite sharing similarities with general Web search and also with biomedical text search, query formulation and query modification when searching for visual biomedical information have unique characteristics that need to be taken into account in order to enhance the effectiveness of the search support offered by such systems. Typical information needs of medical professionals searching radiology resources are also identified with the goal to create realistic search tasks for a medical image retrieval evaluation benchmark.

Mesh:

Year:  2012        PMID: 22874348

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

Review 1.  Analyzing Medical Image Search Behavior: Semantics and Prediction of Query Results.

Authors:  Maria De-Arteaga; Ivan Eggel; Charles E Kahn; Henning Müller
Journal:  J Digit Imaging       Date:  2015-10       Impact factor: 4.056

Review 2.  Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

Authors:  Jayashree Kalpathy-Cramer; Alba García Seco de Herrera; Dina Demner-Fushman; Sameer Antani; Steven Bedrick; Henning Müller
Journal:  Comput Med Imaging Graph       Date:  2014-03-27       Impact factor: 4.790

  2 in total

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