Open Research

Biosurveillance for Invasive Fungal Infections via Text Mining

dc.contributor.author	Martinez, David
dc.contributor.author	Suominen, Hanna
dc.contributor.author	Ananda-Rajah, Michelle
dc.contributor.author	Cavedon, Lawrence
dc.coverage.spatial	Rome Italy
dc.date.accessioned	2015-12-10T23:18:18Z
dc.date.created	September 17-20 2012
dc.identifier.uri	http://hdl.handle.net/1885/65563
dc.publisher	National ICT Australia (NICTA)
dc.relation.ispartofseries	CLEF Workshop on Cross-Language Evaluation of Methods, Applications, and Resources for eHealth Document Analysis
dc.title	Biosurveillance for Invasive Fungal Infections via Text Mining
dc.type	Conference paper
local.description.notes	Imported from ARIES
local.description.refereed	Yes
dc.date.issued	2012
local.identifier.absfor	080702 - Health Informatics
local.identifier.absfor	080107 - Natural Language Processing
local.identifier.ariespublication	u4334215xPUB1124
local.type.status	Published Version
local.contributor.affiliation	Martinez, David, National ICT Australia
local.contributor.affiliation	Suominen, Hanna, College of Engineering and Computer Science, ANU
local.contributor.affiliation	Ananda-Rajah, Michelle, The University of Melbourne
local.contributor.affiliation	Cavedon, Lawrence, National ICT (NICTA)
local.description.embargo	2037-12-31
local.bibliographicCitation.startpage	1
local.bibliographicCitation.lastpage	4
local.identifier.absseo	890301 - Electronic Information Storage and Retrieval Services
local.identifier.absseo	929999 - Health not elsewhere classified
local.identifier.absseo	899999 - Information and Communication Services not elsewhere classified
dc.date.updated	2015-12-10T10:05:28Z
Collections	ANU Research Publications

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.