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Capturing Scientific Knowledge on Medical Risk Factors

Third, Allan; Kaldoudi, Eleni; Gkotsis, George; Roumeliotis, Stefanos; Pafili, Kalliope and Domingue, John (2015). Capturing Scientific Knowledge on Medical Risk Factors. In: 8th International Conference on Knowledge Capture (K-CAP 2015), 7-10 October 2015, Palisades, NY.

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Abstract

In this paper, we describe a model for representing scientific knowledge of risk factors in medicine in an explicit format which enables its use for automated reasoning. The resulting model supports linking the conclusions of up-to-date clinical research with data relating to individual patients. This model, which we have implemented as an ontology-based system using Linked Data, enables the capture of risk factor knowledge and serves as a translational research tool to apply that knowledge to assist with patient treatment, lifestyle, and education. Knowledge captured using this model can be disseminated for other intelligent systems to use for a variety of purposes, for example, to explore the state of the available medical knowledge.

Item Type: Conference or Workshop Item
Copyright Holders: 2016 ACM
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Health and Wellbeing PRA (Priority Research Area)
Item ID: 46810
Depositing User: Kay Dave
Date Deposited: 15 Jul 2016 13:36
Last Modified: 17 Aug 2017 11:01
URI: http://oro.open.ac.uk/id/eprint/46810
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