The rapid changes of lifestyles especially eating habits of fast-food and convenience food which are usually rich in sodium and sugar or carbohydrate lead to other chronic diseases especially for diabetics. Diet practice is one of the very important steps that the diabetic patients can take care of in order to avoid to other complications. The diet planning of a diabetic patient aims to balance up the nutrients and to control the level of blood glucose in the body with minimal cost. This paper aims to provide a combination of food menu that satisfies the daily nutrient requirements of a diabetic person at a minimum cost. An integer programming model of a diabetic diet problem is developed to determine the food combination that satisfies the standard daily nutritional requirements for two days and repetition of menu is prohibited. In this study, a sensitivity analysis is performed by substituting meals. It is found that the best combination of menu for two days for a diabetic patient is at the cost of RM49.10. The optimal solution for the two days menu plan fulfils the standard nutritional requirements for diabetic patients. It is suggested that the findings can be used as a guideline for the diabetic patients themselves or for hospital management to suggest meal planning for diabetic patients.
Skip Nav Destination
Article navigation
21 August 2019
THE 4TH INNOVATION AND ANALYTICS CONFERENCE & EXHIBITION (IACE 2019)
25–28 March 2019
Kedah, Malaysia
Research Article|
August 21 2019
A diet recommendation for diabetic patients using integer programming
Nurul Syafiqa Mohd Sapri;
Nurul Syafiqa Mohd Sapri
a)
Institute of Strategic Industrial Decision Modelling, School of Quantitative Sciences, College of Arts & Sciences, Universiti Utara Malaysia
, 06010 UUM Sintok, Kedah, Malaysia
Search for other works by this author on:
Maduri Ruchhi Bedi a/p Devinder Singh Bedi;
Maduri Ruchhi Bedi a/p Devinder Singh Bedi
b)
Institute of Strategic Industrial Decision Modelling, School of Quantitative Sciences, College of Arts & Sciences, Universiti Utara Malaysia
, 06010 UUM Sintok, Kedah, Malaysia
Search for other works by this author on:
Syariza Abdul-Rahman;
Syariza Abdul-Rahman
c)
Institute of Strategic Industrial Decision Modelling, School of Quantitative Sciences, College of Arts & Sciences, Universiti Utara Malaysia
, 06010 UUM Sintok, Kedah, Malaysia
c)Corresponding author: [email protected]
Search for other works by this author on:
Aida Mauziah Benjamin
Aida Mauziah Benjamin
d)
Institute of Strategic Industrial Decision Modelling, School of Quantitative Sciences, College of Arts & Sciences, Universiti Utara Malaysia
, 06010 UUM Sintok, Kedah, Malaysia
Search for other works by this author on:
c)Corresponding author: [email protected]
AIP Conf. Proc. 2138, 040022 (2019)
Citation
Nurul Syafiqa Mohd Sapri, Maduri Ruchhi Bedi a/p Devinder Singh Bedi, Syariza Abdul-Rahman, Aida Mauziah Benjamin; A diet recommendation for diabetic patients using integer programming. AIP Conf. Proc. 21 August 2019; 2138 (1): 040022. https://doi.org/10.1063/1.5121101
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Citing articles via
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Social mediated crisis communication model: A solution for social media crisis?
S. N. A. Hamid, N. Ahmad, et al.
Recognition of cat ras of face and body using convolutional neural networks
Akhmad Wahyu Aji, Esmeralda Contessa Djamal, et al.
Related Content
Optimal diet selection for university students using integer linear programming
AIP Conf. Proc. (August 2019)
Diet sago (Metroxylon sago Rottb.) on hemoglobin level of young mice (Mus musculus) with hyperbilirubinemia from female parents gestasional diabetes mellitus
AIP Conf. Proc. (January 2023)
Diet planning problems for diabetic patients by using mathematical modeling technique
AIP Conf. Proc. (September 2023)
Story of Tegosept in the insects artificial diet: Challenge for the future research
AIP Conf. Proc. (May 2023)
Pharmacotherapy of diet-restriction-induced-anorexia nervosa with fluoxetine in rats
AIP Conf. Proc. (August 2019)