Towards a visually enhanced medical search engine


Autoria(s): Lalwani, Lavish; Zuccon, Guido; Sharaf, Mohamed; Nguyen, Anthony
Data(s)

2013

Resumo

This paper presents the prototype of an information retrieval system for medical records that utilises visualisation techniques, namely word clouds and timelines. The system simplifies and assists information seeking tasks within the medical domain. Access to patient medical information can be time consuming as it requires practitioners to review a large number of electronic medical records to find relevant information. Presenting a summary of the content of a medical document by means of a word cloud may permit information seekers to decide upon the relevance of a document to their information need in a simple and time effective manner. We extend this intuition, by mapping word clouds of electronic medical records onto a timeline, to provide temporal information to the user. This allows exploring word clouds in the context of a patient’s medical history. To enhance the presentation of word clouds, we also provide the means for calculating aggregations and differences between patient’s word clouds.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/69316/

Relação

http://eprints.qut.edu.au/69316/1/lalwani2013a.pdf

http://ceur-ws.org/Vol-1098/aih2013_Lalwani.pdf

Lalwani, Lavish, Zuccon, Guido, Sharaf, Mohamed, & Nguyen, Anthony (2013) Towards a visually enhanced medical search engine. In Third Australasian Workshop on Artificial Intelligence in Health, 3 December 2013, Dunedin, New Zealand.

Direitos

Copyright 2013 [please consult the author]

Fonte

Institute for Future Environments; School of Information Systems; Science & Engineering Faculty

Tipo

Conference Paper