Context-Aware U-Health Service: Identification of Exercise Recommendation Factors and Creation of Decision-Making Model Using Association Rule

Context-aware U-health services provide health services in which the computer recognizes various contexts that patients may face in real life. To recommend health services, it is necessary to define the context data and identify the data´s relationship with exercise service recommendation factors. In this study, we identify the exercise recommendation factors related to context data to provide a U-health service in a context-aware environment, and build a decision-making model using the association rule. For the identity of the recommendation factors, significant context data for providing health services are distinguished through a multivariate analysis. Further, the exercise preference factors according to patients´ context data can be found through the decision-making model.