title: Exploring out-patient behaviors in claim database: a case study using association rules.
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.
authors.affiliation: Institute of Health Informatics and Decision Making, National Yang-Ming University, Taiwan, R.O.C.
authors.forename: Yun Chun
authors.initials: YC
authors.lastname: Chen
authors.forename: Shiao Chi
authors.initials: SC
authors.lastname: Wu
mesh_terms: 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