| 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|