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Automating the integration of clinical studies into medical ontologies

Roantree, Mark, O'Donoghue, Jim, O'Kelly, Noel, van Boxtel, Martin and Köhler, Sebastian (2014) Automating the integration of clinical studies into medical ontologies. In: 47th Annual Hawaii International Conference on System Sciences (HICSS-47), 6-9 Jan 2014, Big Island, Hawaii.

Abstract
A popular approach to knowledge extraction from clinical databases is to first define an ontology of the concepts one wishes to model and subsequently, use these concepts to test various hypotheses and make predictions about a person’s future health and wellbeing. The challenge for medical experts is in the time taken to map between their concepts/hypotheses and information contained within clinical studies. Presently, most of this work is performed manually. We have developed a method to generate links between Risk Factors in a medical ontology and the questions and result data in longitudinal studies. This can then be exploited to express complex queries based on domain concepts, to extract knowledge from external studies.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Artificial intelligence
Computer Science > Computer engineering
Computer Science > Algorithms
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: System Sciences (HICSS), 2014 47th Hawaii International Conference on. . IEEE.
Publisher:IEEE
Official URL:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb...
Copyright Information:© 2014 IEEE Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:European Framework Programme 7
ID Code:19913
Deposited On:16 Apr 2014 14:06 by Jim O'Donoghue . Last Modified 19 Jul 2018 15:03
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