Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/10907
Title: Integrating clinical data from cross-sectional and longitudinal studies
Authors: Li, Y
Tucker, A
Keywords: Cross-section;Data integration;Disease progression
Issue Date: 2014
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Proceedings - IEEE 27th International Symposium on Computer-Based Medical Systems: 465 - 466, New York, (27- 29 May 2014)
Abstract: Clinical trials are typically conducted over a population in order to illuminate certain characteristics of a health issue or disease process. These cross-sectional studies provide a snapshot of these disease processes over a large population but do not allow us to model the temporal nature of disease. Longitudinal studies on the other hand, are used to explore how these processes develop over time but can be expensive and time-consuming, and only cover a relatively small window within the disease process. This paper explores a technique for integrating cross-sectional and longitudinal studies to build models of disease progression.
URI: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6881928
http://bura.brunel.ac.uk/handle/2438/10907
DOI: http://dx.doi.org/10.1109/CBMS.2014.92
ISBN: 9781479944354
ISSN: 1063-7125
Appears in Collections:Dept of Computer Science Research Papers

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