Detecting contaminated birthdates using generalized additive models. Luo, W, Gallagher, M, Loveday, B, Ballantyne, S, Connor, J P and Wiles, J 2014, Detecting contaminated birthdates using generalized additive models., BMC bioinformatics, vol. 15, no. 1, Article no. 185, pp. 1-9, doi: 10.1186/1471-2105-15-185. Attached Files Name Description MIMEType Size Downloads luo-detectingcontaminated-2014.pdf Published version application/pdf 822.06KB 134 Title Detecting contaminated birthdates using generalized additive models. Author(s) Luo, W orcid.org/0000-0002-4711-7543 Gallagher, M Loveday, B Ballantyne, S Connor, J P Wiles, J Journal name BMC bioinformatics Volume number 15 Issue number 1 Season Article no. 185 Start page 1 End page 9 Total pages 9 Publisher BioMed Central Place of publication London, England Publication date 2014-06 ISSN 1471-2105 Keyword(s) demographic trends domain experts effective approaches false negative rate false positive false positive rates generalized additive model positive predictive values Summary Erroneous patient birthdates are common in health databases. Detection of these errors usually involves manual verification, which can be resource intensive and impractical. By identifying a frequent manifestation of birthdate errors, this paper presents a principled and statistically driven procedure to identify erroneous patient birthdates. Language eng DOI 10.1186/1471-2105-15-185 Field of Research 080109 Pattern Recognition and Data Mining Socio Economic Objective 890299 Computer Software and Services not elsewhere classified HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, BioMed Central Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30067655 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment Centre for Pattern Recognition and Data Analytics (PRADA) Open Access Collection Related Links Link Description Connect to Elements publication management system Go to link with your DU access privileges   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 Mon, 24 Nov 2014, 13:36:42 EST Mon, 24 Nov 2014, 13:37:18 EST Mon, 24 Nov 2014, 14:39:25 EST Tue, 25 Nov 2014, 05:04:13 EST Thu, 27 Nov 2014, 16:24:22 EST Thu, 27 Nov 2014, 16:25:11 EST Mon, 08 Dec 2014, 11:11:08 EST Wed, 14 Oct 2015, 13:58:19 EST Wed, 06 Dec 2017, 06:11:12 EST Fri, 07 Sep 2018, 17:21:03 EST Filtered Full Citation counts:   Cited 3 times in TR Web of Science Cited 1 times in Scopus Search Google Scholar Access Statistics: 577 Abstract Views, 135 File Downloads  -  Detailed Statistics Created: Mon, 24 Nov 2014, 13:37:18 EST