Syndromic surveillance on the victorian chief complaint data set using a hybrid statistical and machine learning technique Aamer, H, Ofoghi, Bahadorreza and Verspoor, K 2016, Syndromic surveillance on the victorian chief complaint data set using a hybrid statistical and machine learning technique, in CEUR Workshop Proceedings. Attached Files Name Description MIMEType Size Downloads Title Syndromic surveillance on the victorian chief complaint data set using a hybrid statistical and machine learning technique Author(s) Aamer, H Ofoghi, Bahadorreza orcid.org/0000-0003-0579-8018 Verspoor, K Title of proceedings CEUR Workshop Proceedings Publication date 2016 ISSN 1613-0073 Indigenous content off HERDC Research category E3.1 Extract of paper Persistent URL http://hdl.handle.net/10536/DRO/DU:30105939 Document type: Conference Paper Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to Elements publication management system 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. Versions Version Filter Type Fri, 19 Jan 2018, 10:35:04 EST Sat, 20 Jan 2018, 04:00:31 EST Wed, 07 Feb 2018, 05:03:20 EST Sat, 19 May 2018, 02:33:17 EST Thu, 20 Sep 2018, 09:08:06 EST Thu, 20 Sep 2018, 09:08:40 EST Sun, 07 Nov 2021, 12:41:44 EST Sun, 07 Nov 2021, 13:24:47 EST Sun, 07 Nov 2021, 13:32:03 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 0 times in Scopus Search Google Scholar Access Statistics: 14 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Fri, 19 Jan 2018, 10:35:04 EST