Exploring out-patient behaviors in claim database: a case study using association rules.
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.
Chen
Yun Chun
YC
Institute of Health Informatics and Decision Making, National Yang-Ming University, Taiwan, R.O.C.
Wu
Shiao Chi
SC
D006296:Health Services / Q000706:statistics & numerical data*; D006801:Humans; D016247:Information Storage and Retrieval; D007345:Insurance Claim Review; D007348:Insurance, Health; D016015:Logistic Models; D010045:Outpatients / Q000523:psychology*; D010342:Patient Acceptance of Health Care; D013624:Taiwan