Clustering patient length of stay using mixtures of Gaussian models and phase type distributions

Garg, Lalit and McClean, Sally I. and Meenan, Brian and El-Darzi, Elia and Millard, Peter H. (2009) Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. In: Proceedings of the 22nd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2009). IEEE, pp. 1-7. ISBN 9781424448791

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Official URL: http://dx.doi.org/10.1109/CBMS.2009.5255245

Abstract

Gaussian mixture distributions and Coxian phase type distributions have been popular choices model based clustering of patients' length of stay data. This paper compares these models and presents an idea for a mixture distribution comprising of components of both of the above distributions. Also a mixed distribution survival tree is presented. A stroke dataset available from the English Hospital Episode Statistics database is used as a running example.

Item Type: Book Section
Subjects: University of Westminster > Science and Technology > Electronics and Computer Science, School of (No longer in use)
Depositing User: Miss Nina Watts
Date Deposited: 11 Nov 2010 11:19
Last Modified: 11 Nov 2010 11:19
URI: http://westminsterresearch.wmin.ac.uk/id/eprint/8840

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