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Mapping longitudinal studies to risk factors in an ontology for dementia

Roantree, Mark, O'Donoghue, Jim, O'Kelly, Noel, Irving, Kate, Pierce, Maria, van Boxtel, Martin and Köhler, Sebastian (2015) Mapping longitudinal studies to risk factors in an ontology for dementia. Health Informatics Journal, 22 (2). pp. 414-426. ISSN 1460-4582

Abstract
A common activity carried out by healthcare professionals is to test various hypotheses on longitudinal study data in an effort to develop new and more reliable algorithms that might determine the possibility of developing certain illnesses. The In-MINDD project provides input from a number of European dementia experts to identify the most accurate model of inter-related risk factors which can yield a personalised dementia risk quotient and profile. This model is then validated against the large population-based prospective Maastricht Aging Study (MAAS) dataset. As part of this overall goal, the research presented in this paper demonstrates how we can automate the process of mapping modifiable risk factors against large sections of the aging study and thus, use information technology to provide more powerful query interfaces.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Dementia; Modifiable risk factors; Ontology; Word matching
Subjects:Medical Sciences > Nursing
Computer Science > Computer engineering
Medical Sciences > Physiology
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
Publisher:SAGE Publications
Official URL:http://dx.doi.org/10.1177/1460458214564092
Copyright Information:© 2015 Sage
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:SFI Grant 12/RC/2289
ID Code:20603
Deposited On:31 Mar 2016 10:53 by Kevin Fraser . Last Modified 19 Jul 2018 15:06
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