Jay, Nicolas and d'Aquin, Mathieu
(2013).
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| URL: | http://knowledge.amia.org/amia-55142-a2013e-1.5800... |
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Abstract
In this paper, we investigate the use of web data resources in medicine, especially through medical classifications made available using the principles of Linked Data, to support the interpretation of patterns mined from patient care trajectories. Interpreting such patterns is naturally a challenge for an analyst, as it requires going through large amounts of results and access to sufficient background knowledge. We employ linked data, especially as exposed through the BioPortal system, to create a navigation structure within the patterns obtained form sequential pattern mining. We show how this approach provides a flexible way to explore data about trajectories of diagnoses and treatments according to different medical classifications.
| Item Type: | Conference or Workshop Item |
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| Copyright Holders: | 2013 The Authors |
| Academic Unit/School: | Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi) Faculty of Science, Technology, Engineering and Mathematics (STEM) |
| Research Group: | Centre for Research in Computing (CRC) |
| Related URLs: | |
| Item ID: | 40064 |
| Depositing User: | Kay Dave |
| Date Deposited: | 30 Apr 2014 14:54 |
| Last Modified: | 04 Oct 2016 15:07 |
| URI: | http://oro.open.ac.uk/id/eprint/40064 |
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