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Exploring out-patient behaviors in claim database: a case study using association rules
1Institute of Health Informatics and Decision Making, National Yang-Ming University, Taiwan, R.O.C.
Abstract:
Patient behaviors are affected by so many factors that makes it is not easy to describe by simple measures. Our approach bases on finding association rules, which is widely used in marketing to identify their customers. We found rules describing complex patient behavior from huge claim dataset and we grouped them into several groups for a better understanding.
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