An extensive survey on diagnosis of diabetes mellitus in healthcare

Abstract

Healthcare is such a wide and extensive area of research wherein diabetes is such a deadly disease which hampers a common man life at the extreme end. Under healthcare, there is always a chance for uncertainty and imprecision under various aspects of medical diagnosis process. This paper reviews various existing methodologies and techniques used for early diagnosis of diabetes mellitus which works like risk alarms to save human life. This survey gives us current state of research in diagnosing disease like diabetes and helps us to find out difficulties with the existing systems. In many of the expert systems different soft computing and data mining techniques are used along with usage of real time dataset from hospitals or readily available datasets like PIMA Indian dataset, colic dataset to diagnose the disease.