Ulster University Logo

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

Garg, Lalit, McClean, Sally, Meenan, BJ, El-Darzi, Elia and Millard, Peter (2009) Clustering patient length of stay using mixtures of Gaussian models and phase type distributions. In: 22nd IEEE International Symposium on Computer-Based Medical Systems, 2009. CBMS 2009. , Albuquerque, NM, USA. IEEE. 7 pp. [Conference contribution]

Full text not available from this repository.

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

DOI: doi: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:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
ID Code:14607
Deposited By: Professor Sally McClean
Deposited On:05 Aug 2010 11:06
Last Modified:18 Aug 2011 10:53

Repository Staff Only: item control page