Improving Diabetes Efficiency with Bacterial Foraging Optimization Algorithm (BFOA)

Abstract

Abstract: Diabetes is one of the most common diseases in the world and is one of the diseases of the times. According to the International Diabetes Federation, there are almost 400 million people with diabetes worldwide. In this paper a new algorithm called Bacterial Foraging Optimization Algorithm (BFOA) was used to control the level of blood sugar in diabetics. The Matlab programming language was used to program the algorithm and test its work on integrated information on 200 patients, by finding the
best value (lowest value or highest value) for diabetes rates in diabetics. Choosing the best value from the parameters that can be used successfully to detect diabetes with simple clinical measurements, without laboratory tests, and based on the graduation of blood sugar levels, patient cases have been classified and appropriate insulin has been
identified to raise or lower blood sugar.