The 45 and Up Study Group

Research Underway

Evaluation of data mining methods for exploring factors associated with prostate cancer

Investigators:

Shima Ghassem pour (PI), Anthony Maeder (Supervisor), Louisa Jorm (Co-supervisor).

Project Aim(s):

Using exploratory data analysis methods (data mining) of the 45 and Up Study baseline questionnaire data, the project aims to identify multiple factors associated with self-reported prostate cancer or pre-diagnosis indications of prostate risk. These findings might identify questions of possible clinical interest for further investigation, and could highlight the potential for using these methods in investigating other health conditions.

Project status:

Application approved April 2011

Project commenced July 2011

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