Access the full text.
Sign up today, get DeepDyve free for 14 days.
Aapo Länsiluoto, T. Eklund, B. Back, H. Vanharanta, A. Visa (2004)
Industry‐specific cycles and companies' financial performance comparison using self‐organizing mapsBenchmarking: An International Journal, 11
Su-Chao Chang, Hae-Ching Chang, Chin-Ho Lin, S. Kao (2003)
The Effect of Organizational Attributes on the Adoption of Data Mining Techniques in the Financial Service Industry: An Empirical Study in TaiwanThe International Journal of Management, 20
Camilla Magnusson, Antti Arppe, T. Eklund, B. Back, H. Vanharanta, A. Visa (2005)
The language of quarterly reports as an indicator of change in the company's financial statusInf. Manag., 42
T. Eklund, B. Back, H. Vanharanta, A. Visa (2003)
Using the Self-Organizing Map as a Visualization Tool in Financial BenchmarkingInformation Visualization, 2
A. Kisa (2001)
The Turkish Commercial Health Insurance IndustryJournal of Medical Systems, 25
S. Hoppszallern (2003)
Health care benchmarking 2003.Hospitals & health networks, 77 2
Ned Kumar, R. Krovi, B. Rajagopalan (1997)
Financial decision support with hybrid genetic and neural based modeling toolsEuropean Journal of Operational Research, 103
C. Ribic, T. Miller (1998)
Evaluation of alternative model selection criteria in the analysis of unimodal response curves using CARTJournal of Applied Statistics, 25
K. Lee, Ingoo Han, Youngsig Kwon (1996)
Hybrid neural network models for bankruptcy predictionsDecis. Support Syst., 18
(2004)
An integrated tool for microarray data clustering and cluster validity assessment
Proceedings of the 33rd Hawaii International Conference on System Sciences- 2000 Knowledge Discovery from Text Documents Based on Paragraph Maps
S. Nazem, Bongsik Shin (1999)
Data Mining: New Arsenal for Strategic Decision MakingJ. Database Manag., 10
The objective of this study is to describe financial profiles of firms via data mining method and obtain vital characteristics of performance level for the firms, which have the best financial profile of the health sector. In this study, public hospitals needed an urgent financial solution under the health sector reform steps were selected for implementation. The study covered 645 Ministry of Health hospitals, which have revolving fund in Turkey. Year of 2004 data was used in the study. As the methodology of this study, the Chi‐Square Automatic Interaction Detector or CHAID decision tree algorithm, one of the most efficient and up‐to‐date data mining method used for segmentation According to the results of the study, it was determined that financial performance of 9.15% (59 hospitals) of the covered hospitals was classified as “good” whereas 90.85% (586 hospitals) of them displayed as “bad” financial performance. Also hospitals were categorized in 12 different profiles in terms of level of financial performance by CHAID. These profiles show us what financial indicators of the hospitals should focus on for good financial performance as well as those profiles should take example to improve their financial performances. As a result of the findings, financial management policies, financial strategies and legal regulations were suggested to improve financial performance of the public hospitals and for the success of the Turkish health sector reform steps.
Social Responsibility Journal – Emerald Publishing
Published: Jan 1, 2006
Keywords: Data mining method; Financial profiling; Health sector reform; Ministry of Health
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.