Deep learning to attend to risk in ICU

Nguyen, Phuoc, Tran, Truyen and Venkatesh, Svetha 2017, Deep learning to attend to risk in ICU, in KDH 2017 : Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017, [The Conference], [Melbourne, Vic.], pp. 25-29.

Attached Files
Name Description MIMEType Size Downloads

Title Deep learning to attend to risk in ICU
Author(s) Nguyen, PhuocORCID iD for Nguyen, Phuoc orcid.org/0000-0002-1649-2519
Tran, TruyenORCID iD for Tran, Truyen orcid.org/0000-0001-6531-8907
Venkatesh, SvethaORCID iD for Venkatesh, Svetha orcid.org/0000-0001-8675-6631
Conference name Knowledge Discovery in Healthcare Data. International Workshop (2nd : 2017 : Melbourne, Victoria)
Conference location Melbourne, Victoria
Conference dates 20 Aug 2017
Title of proceedings KDH 2017 : Proceedings of the 2nd International Workshop on Knowledge Discovery in Healthcare Data 2017
Publication date 2017
Conference series Knowledge Discovery in Healthcare Data International Workshop
Start page 25
End page 29
Total pages 5
Publisher [The Conference]
Place of publication [Melbourne, Vic.]
ISSN 1613-0073
Language eng
HERDC Research category E1 Full written paper - refereed
ERA Research output type E Conference publication
Copyright notice ©2017, The Authors
Persistent URL http://hdl.handle.net/10536/DRO/DU:30104948

Document type: Conference Paper
Collection: Centre for Pattern Recognition and Data Analytics
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: 128 Abstract Views, 3 File Downloads  -  Detailed Statistics
Created: Fri, 17 Nov 2017, 18:08:16 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.