iDietScoreTM: Meal recommender system for athletes and active individuals
Individualized meal planning is a nutrition counseling strategy that focuses on improving food behavior changes. In the sports setting, the number of experts who are sports dietitians or nutritionists (SD/SN) is small in number, and yet the demand for creating meal planning for a vast number of athl...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Science and Information Organization
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/102318/1/102318_iDietScoreTM.pdf http://irep.iium.edu.my/102318/2/102318_iDietScoreTM_SCOPUS.pdf http://irep.iium.edu.my/102318/ https://thesai.org/Publications/ViewPaper?Volume=11&Issue=12&Code=IJACSA&SerialNo=34 |
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| Summary: | Individualized meal planning is a nutrition counseling strategy that focuses on improving food behavior changes. In the sports setting, the number of experts who are sports dietitians or nutritionists (SD/SN) is small in number, and yet the demand for creating meal planning for a vast number of athletes often cannot be met. Although some food recommender system had been proposed to provide healthy menu planning for the general population, no similar solution focused on the
athlete's needs. In this study, the iDietScoreTM architecture was
proposed to give athletes and active individuals virtual
individualized meal planning based on their profile, includes
energy and macronutrients requirement, sports category, age
group, training cycles, training time and individual food
preferences. Knowledge acquisition on the expert domain (the
SN) was conducted prior to the system design through a semistructured interview to understand meal planning activities' workflow. The architecture comprises: (1) iDietScoreTM web for SN/SD, (2) mobile application for athletes and active individuals and (3) expert system. SN/SD used the iDietScoreTM web to develop a meal plan and initiate the compilation meal plan database for further use in the expert system. The user used iDietScoreTM mobile app to receive the virtual individualized meal plan. An inference-based expert system was applied in the current study to generate the meal plan recommendation and meal reconstruction for the user. Further research is necessary to evaluate the prototype. |
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