ARC Research Network in DM&KD Health Data Mining Workshop

Program

Monday 11 April 2005

University of South Australia, Mawson Lakes, Room J2-25

 

9.00-9.30 Reception (coffee)

 

9.30-9.40 Welcome – Introduction to the Network and the Workshop

John Roddick and Jim Warren

 

9.40-10.05 Keynote: Mining linked health data – a new frontier

Chris Kelman

 

10.10-11.00 Session 1 (concurrent papers)

 

Stream 1 – room J2-25

Research within the privacy regulations: Problems and solutions for database custodians

E. Mulligan, W.A. Rogers and A.J. Braunack-Mayer

 

Availability of health data for data mining purposes: Responsibilities of data miners

Eleanor Royle

 

Steam 2 – room J1-01

The study of drug-reaction associations using global optimization techniques

M.A. Mammadov, A.M. Rubinov and J. Yearwood

 

A probabilistic deduplication, record linkage and geocoding system

Peter Christen and Tim Churches

 

11-11.20 Morning Tea – room J2-25

 

11.20-12.10 Session 2 (concurrent papers)

 

Stream 1 – room J2-25

Data mining cardiovascular Bayesian networks

Charles R. Twardy, Ann E. Nicholson, Kevin B. Korb and John McNeil

 

Inferring ‘therapeutic states’ of patients from community electronic prescribing data

Jim Warren, Jan Stanek, Svetla Gadzhanova, Ivan Iankov and Gary Misan

 

Steam 2 – room J1-01

Mining unexpected temporal associations: Applications in detecting adverse drug reactions

Huidong Jin, Jie Chen, Hongxing He, Graham Williams, Chris Kelman and Christine M. O’Keefe

 

Frequency based temporal patterns mining in health data

Jie Chen, Huidong Jin, Hongxing He, Christine M. O’Keefe, Ross Sparks, Damien

McAullay and Chris Kelman

 

12.10-12.55 Round table on ethical issues in health data mining – room J2-25

Presenters: W.A. Rogers, A.J. Braunack-Mayer and E. Mulligan

 

12.55-1.45 Lunch – room J2-25

 

1.45-2.10 Invited talk: What do you mean by ‘Data Mining’?

John Bass and Diana Rosman

 

2.10-3.00 Session 3 (plenary papers)

 

Overview of four years of data mining studies on the Queensland linked data set

Christine M. O’Keefe and Chris Kelman

 

Finding anomalies in Medicare

Robert Pearson, Wayne Murray and Thomas Mettenmeyer

 

3.00-3.20 Afternoon Tea – J2-25

 

3.25-4.15 Session 4 (concurrent papers)

 

Stream 1 – room J2-25

Using data mining techniques for optimizing medical treatment processes

Klaus Vilstrup Pedersen

 

Redefining interestingness metrics for medical data mining

Anna Shillabeer and John F. Roddick

 

Stream 2 – room J1-01

A nonsmooth optimization algorithm for minimum sum-of-squares clustering problems

Adil Bagarov and John Yearwood

 

Predicting treatment outcome for Childhood Leukaemia through integrated mining of biological and clinical data

Franco A. Ubaudi

 

4.15-4.30 Closing: And where to from here?

Jim Warren and John Roddick