Non Invasive Method of Diabetes Detection using Particle Swarm Optimization in Tongue Images

Abstract

Tongue ulcer and amputations are major lower extremity complications of diabetes mellitus and account for expenditure of hundreds of millions of dollars annum more importantly; these complications are also associated with an increased morbidity and mortality. Their avoidance therefore becomes critically important in the long-term case of persons with diabetes daily tongue self examination has therefore been approved as a key components in diabetes amputating avoidance programs introduce a novel self assessment accessory that abetment patients in examine the basement of their tongue with a synthesis reflector and liquid crystal temperature sensitive pads. Area of inflammation and increased skin temperature can be easily visualized by patients the prompting them to seek early information for impending problems. Exploratory action indicates that this method has been approvingly approved by high complicated patients. Nevertheless, longitudinal application will be compulsory to complete its long-term capability in avoid branch threatening diabetic tongue disorders and that can be identified by with tongue diabetic detectors and different particle swarm optimization