APPLICATION OF DATA MINING TECHNIQUE TO MEASURING PATIENTS’ SATISFACTION ABOUT HEALTHCARE SERVICE QUALITY AT THE PUBLIC HOSPITALS IN DAKNONG PROVINCE

Abstract: 97 | PDF: 70

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Author

  • Le Dan

Keywords:

CRISP-DM
AMOS
Data mining
Satisfaction
Service Quality
Healthcare
Decision making

Abstract

Data mining is widely used in social and economic analyses to support decision making. This article introduces the use of a data mining technique to analyze the factors affecting patient’s satisfaction about the quality of healthcare service at the public hospitals in DakNong Province. Especially, the paper introduces the steps as well as the basic task of each step in the CRISP – DM process and the application of this process to measuring the impact of factors on patients’ satisfaction. Additionally, the paper uses the Gi-Du Kang & Jeffrey James models (2004) to study the causal relationships between mentioned factors. The parameters of the model are estimated by SEM techniques, with the help of the SPSS and AMOS software.

References

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Published

Mar 31, 2014
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PDF (Tiếng Việt)
How to Cite
Le Dan. “APPLICATION OF DATA MINING TECHNIQUE TO MEASURING PATIENTS’ SATISFACTION ABOUT HEALTHCARE SERVICE QUALITY AT THE PUBLIC HOSPITALS IN DAKNONG PROVINCE”. The University of Danang - Journal of Science and Technology, vol. 3, no. 76, Mar. 2014, pp. 91-96, https://jst-ud.vn/jst-ud/article/view/3064.

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