Publikation
Statistical Term Profiling for Query Pattern Mining
Paul Buitelaar; Pinar Wennerberg; Sonja Zillner
In: Proceedings of the Workshop on Current Trends in Biomedical Natural Language Processing. Workshop on Current Trends in Biomedical Natural Language Processing (BioNLP-2008), located at 46th International Meeting of the Association for Computational Linguistics: Human Language Technology (ACL 2008), June 19, Columbus, Ohio, USA, Pages 114-115, ACL, 2008.
Zusammenfassung
For enabling advanced access to clinical imaging
and text data, it is relevant to know what kind of
knowledge the clinician wants to know or the queries
that clinicians are interested in. Through intensive
interviews and discussions with radiologists
and clinicians, we have learned that medical imaging
data is analyzed - and hence queried from
three different perspectives, i.e. the anatomic perspective
addressing the involved body parts, the
radiology-specific spatial perspective describing
the relationships of located anatomical regions to
other anatomical parts, and the disease perspective
distinguishing between normal and abnormal imaging
features. Our aim is to establish query patterns
reflecting those three perspectives that would
typically be used by clinicians and radiologists to
find patient-specific sets of relevant images.