| Vol-1149 urn:nbn:de:0074-1149-2 Copyright © 2014 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.

# Abstracts-BD-2014
Abstracts of the Scientific Stream at Big Data 2014

###
Proceedings of the Abstracts of the Scientific Stream at Big Data 2014

### Melbourne, Australia, April 3-4, 2014.

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 2014 Scientific Abstracts

- Frontmatter

- Classification of data and activities in self-quantification systems
  Manal Almalki, Guillermo Lopez-Campos, Kathleen Gray, Fernando Martin-Sanchez
- Personalised cloud-computed genomics at health-system-relevant scale
  Denis Bauer, Piotr Szulc, Fabian Busked
- Modeling of time series health data using Dynamic Bayesian Networks: An application to predictions of patient outcomes after multiple surgeries
  Xiongcai Cai, Oscar Perez-Concha, Fernando Martin-Sanchez, Blanca Gallego
- Text mining for lung cancer cases over large patient admission data
  David Martinez, Lawrence Cavedon, Zaf Alam, Christopher Bain, Karin Verspoor
- Implementing a clinical genomics infrastructure to sequence 18,000 human genomes per year
  Liviu Constantinescu, Mark Cowley, Kevin Ying, Peter Budd, Derrick Lin, Warren Kaplan, Marcel Dinger
- Big insights into patient flow
  Sarah Dods, Justin Boyle, Sankalp Khanna, John O'Dwyer, David Sier, Ross Sparks, Norm Good, Derek Ireland, Christine O'Keefe, David Hansen
- Health informatics visualisation engine: HIVE
  Norm Good, Chris Bain, David Hansen, Simon Gibson
- GPU enables search for 2-way and 3-way interactions in GWAS
  Adam Kowalczyk, Qiao Wang, Fan Shi, Andrew Kowalczyk, David Rawlinson, Benjamin Goudey, Richard Campbell, Herman Ferra
- Parent perspectives on the secondary use of birth cohort data
  Kiran Pohar Manhas, Stacey Page, Nicole Letourneau, Suzanne Tough
- Resolving ambiguity in genome assembly using high performance computing
  Mahtab Mirmomeni, Thomas Conway, Matthias Reumann, Justin Zobel
- Spatio-temporal visualisation of disease incidence and respective intervention strategies
  Stefan Von Cavallar, Matthew Davis, Kelly L. Wyres, Matthias Reumann, Martin J. Sepulveda, Priscilla Rogers
- Enhancing diagnostics for invasive Aspergillosis using machine learnin
  Simone Romano, James Bailey, Lawrence Cavedon, Orla Morrissey, Monica Slavin, Karin Verspoor
- HealthMap: A visual platform for patient suicide risk review
  Santu Rana, Wei Luo, Truyen Tran, Dinh Phung, Svetha Venkatesh, Richard Harvey
- Causality driven data integration for adverse drug reaction discovery
  Chen Wang, Sarvnaz Karmi

2014-04-28: submitted by Katrina Barbuto
2014-05-12: published on CEUR-WS.org |valid HTML5|