Soft Computing Framework for Digital Healthcare System.

This Paper addresses the problem related to determination of dependency and relationship between diseases. Towards achieving the above objective, we propose Fuzzy Data Mining Approach. The contribution of this paper lies in the exploration of soft computing framework in addressing the vexing and often unresolved healthcare concerns. In today’s age and also in the foreseeable future, the resolution lies in healthcare based on digital systems. The differentiation of the paper lies in proposing a soft computing framework based digital system for healthcare. The paper not only considers fuzzy clustering mechanism, but also adopts a differentiated and hitherto seldom explored approach of data mining model based on fuzzy relational databases. We look at various perspectives and dimensions that would facilitate healthcare, such as the geographic penetration of diseases and similarity measures of the same, such that providers of healthcare systems may focus their efforts on incidence of certain diseases, based on dimensions such as geography, demography etc. Thus, this work provides a novel and hitherto seldom unexplored differentiated approach of digital healthcare system.