期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：4
页码：465-468
出版社：Shri Pannalal Research Institute of Technolgy
摘要：With urbanization, changes in lifestyle and diet habits of people have paved way for chronic diseases which were either not known or were very less prevalent in the past. Diabetes is one such disease which has been considered as one among the top four non communicable diseases that is of major threat to all countries. This paper focus on developing a diet recommender system for diabetic patients by obtaining the list of available food items from the user and refining the proportion of each of the food items to result in the best composition of a balanced and healthy diet. Further the system ensures that the composition of diet recommended, results in least deviations in blood sugar levels of the individual, thereby helping them maintain their blood glucose levels. The system makes use of two important factors related to food that directly impacts the blood glucose level of a diabetic patient namely, Glycemic Index and Glycemic Load. Consideration of Glycemic Load ensured us to take into account the quantity of the food item being consumed along with the type of the food item. The system firstly obtains the food items that are currently available to the individual and then determines features such as Glycemic Index and Glycemic Load for each of the food item from a central repository. This information is then framed as a linear programming problem with the optimization function being to reduce the overall Glycemic Load. The linear programming problem is then feed to a simplex algorithm which then suggests the best proportion of each of the food item that can be consumed by the user. Finally the suggestion system is applied to a sample food items list and the predictions made are discussed.
关键词：Diabetes; glycemic index; glycemic load; linear programming; simplex algorithm.
