  Diabetes is a global epidemic and it is increasing at an alarming rate. The
International Diabetes Federation (IDF) projected that the total number of
people with diabetes globally may increase by 48%, from 425 million (year 2017)
to 629 million (year 2045). Moreover, diabetes had caused millions of deaths
and the number is increasing drastically. Therefore, this paper addresses the
background of diabetes and its complications. In addition, this paper
investigates innovative applications and past researches in the areas of
diabetes management system with applied eye fundus and tongue digital images.
Different types of existing applied eye fundus and tongue digital image
processing with diabetes management systems in the market and state-of-the-art
machine learning techniques from previous literature have been reviewed. The
implication of this paper is to have an overview in diabetic research and what
new machine learning techniques can be proposed in solving this global
epidemic.
