Predictive health analytic model in federated cloud

Abstract

Predictive Health Analytic is a challenging discipline in healthcare industry where knowledge can be transferred into action. The basic steps in predictive modeling are to define the problem, gather the initial necessary data and evaluate several different algorithm approaches. Later his process to be refined by selecting best performing models, testing with bench mark data sets and real world setting. Predictive analytics helps to extract useful knowledge and support in making decisions. In this paper, federated health providers are interconnected by using brokers, gather information and helps in decision making related to the issues of health. Each provider has provided the awareness about the distinct diseases, predict the possible level of diseases affected and the mode of treatment. Simulation result reveals that the proposed architecture is essential for the present needs of human life.