Dear Bill,

I am not sure what kind of further data you have, but if you like to
visualize/detect changing groups of objects (patients) over time the
work of Tanja Falkowski might be of interest for you:

http://omen.cs.uni-magdeburg.de/itikmd/Tanja_Falkowski.64.0.html
there are some papers available on her website e.g.
http://wwwiti.cs.uni-magdeburg.de/~tfalkows/publ/2007/KI_FalSpi07.pdf

The algorithms she proposed try to detect and visualize groups that
change over time in network like structures. You might get a network
structure from your data by defining links based on similarity
scores between patients (e.g. over a subset of treatment or - possibly
more adequate here - data from patients records).

Andreas


Shannon, William schrieb:
> I have a new project that is intriguing and offers data I have never tried to cluster.
> 
> The question is whether there are hiv/aids patients treated differently according to their medicaid procedure codes (what was done to them). Procedures occur over time so  changing the clustering over time would seem reasonable. Hopefully we will see clusters of patients form based on medical interventions given, and stabilize as we move forward.
> 
> I have never done anything like this and wanted to know if anyone could point me in the right direction towards previously done work along this line.
> 
> Thank you
> 
> Bill Shannon, PhD
> Associate Prof. of Biostatistics in Medicine
> Washington University School of Medicine
> Director, Biostatistical Consulting Center
> 314-454-8356
> 
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-- 
Andreas Nuernberger
Data & Knowledge Engineering Group
Faculty of Computer Science
Otto-von-Guericke-University Magdeburg
Universitaetsplatz 2
39106 Magdeburg, Germany

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