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Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Garg, Lalit, McClean, Sally, Meenan, Brian and Millard, Peter (2011) Phase-Type Survival Trees and Mixed Distribution Survival Trees for Clustering Patients' Hospital Length of Stay. Informatica, 22 (1). pp. 57-72. [Journal article]

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Abstract

Clinical investigators, health professionals and managers are often interested in developing criteria for clustering patients into clinically meaningful groups according to their expected length of stay. In this paper, we propose two novel types of survival trees; phase-type survival trees and mixed distribution survival trees, which extend previous work on exponential survival trees. The trees are used to cluster the patients with respect to length of stay where partitioning is based on covariates such as gender, age at the time of admission and primary diagnosis code. Likelihood ratio tests are used to determine optimal partitions. The approach is illustrated using nationwide data available from the English Hospital Episode Statistics (HES) database on stroke-related patients, aged 65 years and over, who were discharged from English hospitals over a 1-year period.

Item Type:Journal article
Keywords:decision support, clinical databases, phases of care, estimating group, service time
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Computer Science Research Institute
Engineering Research Institute
Computer Science Research Institute > Information and Communication Engineering
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
ID Code:19059
Deposited By:Professor Sally McClean
Deposited On:15 Jul 2011 10:04
Last Modified:15 Jul 2011 10:04

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