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Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum

Type 2 Diabetes Mellitus (T2DM) is a significant global health concern, impacting a substantial portion of the population. With T2DM cases on the rise, patients often experience prolonged waiting times for consultations, leading to delayed access to healthcare professionals. Manual food evaluations...

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Main Authors: Ibrisam, Aisyah, Mohd Rum, Siti Fatimah
Format: Article
Language:English
Published: College of Computing, Informatics, and Mathematics 2024
Subjects:
Integer programming
Online Access:https://ir.uitm.edu.my/id/eprint/106043/1/106043.pdf
https://ir.uitm.edu.my/id/eprint/106043/
https://fskmjebat.uitm.edu.my/pcmj/
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id my.uitm.ir.106043
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spelling my.uitm.ir.1060432025-02-26T17:08:29Z https://ir.uitm.edu.my/id/eprint/106043/ Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum Ibrisam, Aisyah Mohd Rum, Siti Fatimah Integer programming Type 2 Diabetes Mellitus (T2DM) is a significant global health concern, impacting a substantial portion of the population. With T2DM cases on the rise, patients often experience prolonged waiting times for consultations, leading to delayed access to healthcare professionals. Manual food evaluations for T2DM patients, typically reliant on handwritten notes, face challenges due to the lack of suitable datasets and the vast array of food choices. This research introduces a Food Recommendation System for T2DM patients using Content-Based Filtering, with the aim of addressing these issues. Drawing on validated data from certified dietitians, the system focuses on critical attributes such as food category, type, and groups, offering personalized recommendations based on patient preferences. Targeting T2DM patients in Malaysia, the system utilizes data from the Ministry of Health and other reputable sources. The significance of this system lies in its ability to empower T2DM patients to make informed, healthier food choices, thereby contributing to self- management and overall health improvement. In conclusion, this system holds promise for promoting healthier lifestyles among T2DM patients through dietary intervention. College of Computing, Informatics, and Mathematics 2024-10 Article NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/106043/1/106043.pdf Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum. (2024) Progress in Computer and Mathematics Journal (PCMJ) <https://ir.uitm.edu.my/view/publication/Progress_in_Computer_and_Mathematics_Journal_=28PCMJ=29/>, 1. pp. 569-579. ISSN 3030-6728 (Submitted) https://fskmjebat.uitm.edu.my/pcmj/
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Integer programming
spellingShingle Integer programming
Ibrisam, Aisyah
Mohd Rum, Siti Fatimah
Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
description Type 2 Diabetes Mellitus (T2DM) is a significant global health concern, impacting a substantial portion of the population. With T2DM cases on the rise, patients often experience prolonged waiting times for consultations, leading to delayed access to healthcare professionals. Manual food evaluations for T2DM patients, typically reliant on handwritten notes, face challenges due to the lack of suitable datasets and the vast array of food choices. This research introduces a Food Recommendation System for T2DM patients using Content-Based Filtering, with the aim of addressing these issues. Drawing on validated data from certified dietitians, the system focuses on critical attributes such as food category, type, and groups, offering personalized recommendations based on patient preferences. Targeting T2DM patients in Malaysia, the system utilizes data from the Ministry of Health and other reputable sources. The significance of this system lies in its ability to empower T2DM patients to make informed, healthier food choices, thereby contributing to self- management and overall health improvement. In conclusion, this system holds promise for promoting healthier lifestyles among T2DM patients through dietary intervention.
format Article
author Ibrisam, Aisyah
Mohd Rum, Siti Fatimah
author_facet Ibrisam, Aisyah
Mohd Rum, Siti Fatimah
author_sort Ibrisam, Aisyah
title Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
title_short Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
title_full Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
title_fullStr Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
title_full_unstemmed Food recommendation system for type 2 diabetes mellitus using content-based filtering / Aisyah Ibrisam and Siti Fatimah Mohd Rum
title_sort food recommendation system for type 2 diabetes mellitus using content-based filtering / aisyah ibrisam and siti fatimah mohd rum
publisher College of Computing, Informatics, and Mathematics
publishDate 2024
url https://ir.uitm.edu.my/id/eprint/106043/1/106043.pdf
https://ir.uitm.edu.my/id/eprint/106043/
https://fskmjebat.uitm.edu.my/pcmj/
_version_ 1825165088613466112
score 13.239859

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