Stabilizing high-dimensional prediction models using feature graphs Gopakumar, Shivapratap, Tran, Truyen, Nguyen, Tu Dinh, Phung, Dinh and Venkatesh, Svetha 2015, Stabilizing high-dimensional prediction models using feature graphs, IEEE journal of biomedical and health informatics, vol. 19, no. 3, pp. 1044-1052, doi: 10.1109/JBHI.2014.2353031. Attached Files Name Description MIMEType Size Downloads Title Stabilizing high-dimensional prediction models using feature graphs Author(s) Gopakumar, Shivapratap Tran, Truyen orcid.org/0000-0001-6531-8907 Nguyen, Tu Dinh Phung, Dinh orcid.org/0000-0002-9977-8247 Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Journal name IEEE journal of biomedical and health informatics Volume number 19 Issue number 3 Start page 1044 End page 1052 Total pages 9 Publisher IEEE Place of publication Champaign, III. Publication date 2015-05 ISSN 2168-2208 Keyword(s) Aged Electric Health Records Female Heart Failure Humans Male Models, Biological Models, Statistical Reproductility of Results Risk Factors Summary We investigate feature stability in the context of clinical prognosis derived from high-dimensional electronic medical records. To reduce variance in the selected features that are predictive, we introduce Laplacian-based regularization into a regression model. The Laplacian is derived on a feature graph that captures both the temporal and hierarchic relations between hospital events, diseases, and interventions. Using a cohort of patients with heart failure, we demonstrate better feature stability and goodness-of-fit through feature graph stabilization. Language eng DOI 10.1109/JBHI.2014.2353031 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences HERDC Research category C1 Refereed article in a scholarly journal Copyright notice ©2015, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30076886 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Open Access Collection 2018 ERA Submission Related Links Link Description Link to full-text (open access)   Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 26 Aug 2015, 14:49:50 EST Thu, 27 Aug 2015, 05:08:31 EST Thu, 27 Aug 2015, 08:51:48 EST Thu, 27 Aug 2015, 08:58:02 EST Fri, 26 Feb 2016, 16:29:10 EST Tue, 01 Mar 2016, 11:11:08 EST Wed, 02 Mar 2016, 05:06:56 EST Fri, 04 Mar 2016, 08:34:53 EST Fri, 04 Mar 2016, 08:35:50 EST Sun, 10 Nov 2019, 10:41:37 EST Filtered Full Citation counts:   Cited 4 times in TR Web of Science Cited 6 times in Scopus Search Google Scholar Access Statistics: 467 Abstract Views, 4 File Downloads  -  Detailed Statistics Created: Tue, 01 Mar 2016, 11:11:08 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.