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Journal of Medical Systems
Erschienen in: Journal of Medical Systems 4/2010

01.08.2010 | Original Paper

Detecting Road Maps for Capacity Utilization Decisions by Clustering Analysis and CHAID Decision Tress

verfasst von: Ali Serhan Koyuncugil, Nermin Ozgulbas

Erschienen in: Journal of Medical Systems | Ausgabe 4/2010

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Abstract

The aims of this study are to provide a standard CUR value, to determine financial and organizational factors which affect the capacity utilization and develop road maps for increasing capacity utilization. To reach these aims by an objective method, we used data mining method that discovers hidden and useful pattern in a large amount of data. Two different method of data mining were used in two stages for this study. In first step, standard value of CUR was determined by K-means Clustering Analysis. CHAID Decision Tree Algorithm as a second method was implemented for determination of impact factors that provided steps for road maps. The study was concerned Turkish Ministry of Health public hospitals. 592 hospitals were covered and financial and operational data of the year 2004 were used in the study. Finally two different road maps were developed and suggestions were made according the results of the study.
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Metadaten
Titel
Detecting Road Maps for Capacity Utilization Decisions by Clustering Analysis and CHAID Decision Tress
verfasst von
Ali Serhan Koyuncugil
Nermin Ozgulbas
Publikationsdatum
01.08.2010
Verlag
Springer US
Erschienen in
Journal of Medical Systems / Ausgabe 4/2010
Print ISSN: 0148-5598
Elektronische ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-009-9258-9

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