Degree of Disease possibility (DDP): A mining based statistical measuring approach for disease prediction in health care data mining

We propose a novel mining based statistical analysis approach to predict the scope of a disease by the given patient record. We labeled the proposed measuring process as Degree of Disease possibility. The said model is devising degree of disease possibility threshold (ddpt) and its lower and upper bounds. In regard to predict the ddpt, here we remodeled the HITs algorithm, which is popularly used to derive the hyper link weights of a given website. The experimental results explored in this paper indicating the significance of the proposed model.