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

E-mail: [email protected]
WWW:    http://www.findke.ovgu.de
Phone:  +49-391-67-18487
Fax:    +49-391-67-12020

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