The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...

Evaluation and debugging of AI systems require coherent views of program performance and behavior. We have developed a family of methods, called Dependency Detection, for analyzing execution traces for small patterns. Unfortunately, these methods provide only a local view of program behavior. The approach described in this paper integrates two methods, dependency detection [10] and CHAID-based ...

Most classifiers work well when the class distribution in the response variable of the dataset is well balanced. Problems arise when the dataset is imbalanced. This paper applied four methods: Oversampling, Undersampling, Bagging and Boosting in handling imbalanced datasets. The cardiac surgery dataset has a binary response variable (1=Died, 0=Alive). The sample size is 4976 cases with 4.2% (Di...

A lot of research has been carried out in the past by using association rules to build more accurate classifiers. The idea behind these integrated approaches is to focus on a limited subset of association rules. However, these integration approaches have not been tested yet within the context of transportation research. The aim of this chapter is therefore to evaluate the performance of an adap...

Breast cancer survivors must manage chronic side effects of original treatment. To manage these symptoms, communication must include both biomedical and contextual lifestyle factors. Sixty breast cancer survivors and 6 providers were recruited to test a conceptual model developed from uncertainty in illness theory and the dimensions of a patient-centered relationship. Visits were audio-taped, t...