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Øystein:

Readings

Stein Jakobs Master Thesis

http://en.wikipedia.org/wiki/Petri_net

en.wikipedia.org/wiki/Weka_(machine_learning)

Look into

YuvalShahar_TemporalAbstraction.pdf

Shahars: KnaveII: Visualization: SB Martins: http://medinfo.ise.bgu.ac.il/medlab/Other/Knave/KNAVE_poster.pdf

And the work on Process Mining

http://www.processmining.org/research/start

By van der Alst

SVN repository for Patient Explorer:

http://basar.idi.ntnu.no/svn/pastas/PatientExplorer

Specification of Arezoos task

  • Focus on Grouping patients from Patient Explorer
  • Maybe grouping using existing software like Weka.
    • Making own measures of distance between groups
    • Start with two simple groups
      • Chronic
      • Non-Chronicly ill
    • Maybe using transformation based clustering
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