Scheduling Diet for Diabetes Mellitus Patients using Genetic Algorithm

International Conference on Computing and Applied Informatics 2016

物理学;计算机科学

Syahputra, M.F.^1 ; Felicia, V.^1 ; Rahmat, R.F.^1 ; Budiarto, R.^2

Department of Information Technology, Faculty of Computer Science and Information Technology, University of Sumatera Utara, Medan, Indonesia^1

Department of Information System, College of Computer Science and Information Technology, Albaha University, Saudi Arabia^2

关键词: Diabetes mellitus;    Healthy lifestyles;    Metabolic disease;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/801/1/012033/pdf
DOI  :  10.1088/1742-6596/801/1/012033

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

Diabetes Melitus (DM) is one of metabolic diseases which affects on productivity and lowers the human resources quality. This disease can be controlled by maintaining and regulating balanced and healthy lifestyle especially for daily diet. However, nowadays, there is no system able to help DM patient to get any information of proper diet. Therefore, an approach is required to provide scheduling diet every day in a week with appropriate nutrition for DM patients to help them regulate their daily diet for healing this disease. In this research, we calculate the number of caloric needs using Harris-Benedict equation and propose genetic algorithm for scheduling diet for DM patient. The results show that the greater the number of individuals, the greater the more the possibility of changes in fitness score approaches the best fitness score. Moreover, the greater the created generation, the more the opportunites to obtain best individual with fitness score approaching 0 or equal to 0.