DRO

An intelligent risk detection framework using business intelligence tools to improve decision efficiency in healthcare contexts

Moghimi, FH, Zadeh, HS, Cheung, M and Wickramasinghe, Nilmini 2011, An intelligent risk detection framework using business intelligence tools to improve decision efficiency in healthcare contexts, in AMCIS 2011 : Proceedings of the Seventeenth Americas Conference on Information Systems, Association for Information Systems,, pp. 1-1.

Attached Files
Name Description MIMEType Size Downloads

Title An intelligent risk detection framework using business intelligence tools to improve decision efficiency in healthcare contexts
Author(s) Moghimi, FH
Zadeh, HS
Cheung, M
Wickramasinghe, NilminiORCID iD for Wickramasinghe, Nilmini orcid.org/0000-0002-1314-8843
Conference location Detroit, Mich.
Conference dates 2011/08/04 - 2011/08/07
Title of proceedings AMCIS 2011 : Proceedings of the Seventeenth Americas Conference on Information Systems
Publication date 2011
Start page 1
End page 1
Total pages 1
Publisher Association for Information Systems
ISBN 9781618390981
Field of Research 110399 Clinical Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category E3.1 Extract of paper
Persistent URL http://hdl.handle.net/10536/DRO/DU:30077614

Document type: Conference Paper
Collection: Faculty of Health
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 20 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 31 Aug 2015, 15:00:20 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.