Vol-1468
urn:nbn:de:0074-1468-2

Copyright © 2015 for the individual papers by the papers' authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors.

BigData 2015
Big Data in Health Analytics 2015

Proceedings of the Scientific Stream at Big Data in Health Analytics 2015 (BigData 2015)

Sydney, Australia, October 20-21, 2015.

Edited by

Katrina Barbuto*
Louise Schaper*
Karin Verspoor**

* Health Informatics Society of Australia
** Department of Computing and Information Systems, University of Melbourne, Australia

Table of Contents

Big Data 2015 Scientific Papers

Experiences in implementing large-scale biomedical workflows on the cloud: Challenges in transitioning to the clinical domain
Sehrish Kanwal, Andrew Lonie, Richard O. Sinnott, Charlotte Anderson
Evaluating classification power of linked admission data sources with text mining
Simon Kocbek, Lawrence Cavedon, David Martinez, Christopher Bain, Chris Mac Manus, Gholamreza Haffari, Ingrid Zukerman, Karin Verspoor
Improving conventional prognosticators in diffuse large B cell lymphoma using marker ratios
Kim-Anh Le Cao, Colm Keane, Erica Han, Dipti Talaulikar, Maher Gandhi
Transfusion did not prevent complications of scheduled surgery in California hospitals during 2012-13
Peter McNair, Terri Jackson
Big data study for coping with stress
Denny Meyer, Jo-Anne M. Abbott, Maja Nedejkovic
VariantSpark: Applying Spark-based machine learning methods to genomic information
Aidan R. O’Brien, Denis C. Bauer
Assessing the performance of American chief complaint classifiers on Victorian syndromic surveillance data
Bahadorreza Ofoghi, Karin Verspoor
Analysing delays between time course gene expression data and biomarkers
Jasmin Straube, Anne Bernard, Bevan Emma Huang, Kim-Anh Le Cao

2015-10-07: submitted by Katrina Barbuto, Louise Schaper, metadata incl. bibliographic data published under Creative Commons CC0
2015-10-09: published on CEUR-WS.org |valid HTML5|