文档介绍：Decision Support Systems 50 (2011) 439–448
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Decision Support Systems
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Using data mining techniques to predict hospitalization of hemodialysis patients
Jinn-Yi Yeh a,⁎, Tai-Hsi Wu b, Chuan-Wei Tsao a
a Department of Management Information Systems, National Chiayi University, Taiwan
b Department of Business Administration, National Taipei University, Taiwan
article info abstract
Article history: Hemodialysis patients might suffer from unhealthy care behaviors or long-term dialysis treatments and need
Received 20 February 2009 to be hospitalized. If the hospitalization rate of a hemodialysis center is high, its service quality will be low.
Received in revised form 22 October 2010 Therefore, decreasing hospitalization rate is a crucial problem for health care centers. This study combines
Accepted 1 November 2010
temporal abstraction with data mining techniques for analyzing dialysis patients' biochemical data to develop
Available online 6 November 2010