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dc.contributor.authorGarg, Lalit-
dc.contributor.authorMcClean, Sally-
dc.contributor.authorBarton, Maria-
dc.contributor.authorMeenan, Brian-
dc.identifier.citationGarg, L., McClean, S., Barton, M., Meenan, B., & Fullerton, K. (2010). Forecasting hospital bed requirements and cost of care using phase type survival trees. 5th IEEE International Conference on Intelligent Systems, London. 185-190.en_GB
dc.description.abstractIn our previous work we proposed a phase type survival tree method for clustering patients into clinically meaningful patient groups. We also discussed its extension which uses the survival tree based analysis for patient pathway prognostication and to examine the relationship between length of stay in hospital and destination on discharge. The current paper illustrates how phase type survival tree based clustering can be used for better forecasting of bed requirements and cost in a stroke unit by analyzing the effects of individual clusters and their interactions with the whole patient care unit. The paper then describes how this approach can be used for better estimation of patient demography and cost of care at a given time in the future. An application of the approach is illustrated using 5 years’ retrospective data of patients admitted to the Belfast City Hospital with a diagnosis of stroke.en_GB
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_GB
dc.subjectMedical careen_GB
dc.subjectCost effectivenessen_GB
dc.subjectPhase contrast magnetic resonance imagingen_GB
dc.titleForecasting hospital bed requirements and cost of care using phase type survival treesen_GB
dc.rights.holderThe copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holderen_GB
dc.bibliographicCitation.conferencename5th IEEE International Conference on Intelligent Systemsen_GB
dc.bibliographicCitation.conferenceplaceLondon, UK, 7-9/2010en_GB
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