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Title |
Lipid Profile Self-Monitoring Application Using Recommender Approach |
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Author |
Marshima Mo, hd RosliNur Diyana Abd Aziz, Noor Alicezah Kassim, Nur Atiqah Sia Abdullah |
| Citation |
Vol. 24 No. 11 pp. 67-72 |
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Abstract |
The recent healthcare transformations emphasize the importance of individuals maintaining a healthy lifestyle through proper nutrition and physical activity to reduce the risk of severe illnesses. Patients often search for information on their own, leading to uncertainty about appropriate diets or fitness activity. Consequently, many individuals cross-check information or health advice from various sources. However, some people hesitate to verify online health-related information with their clinicians, fearing that it may be per-ceived as a challenge to their expertise and authority. The aim of this study was to determine a useful way to monitor a patient's lipid profile and provide recommendations for meal plans and fitness activity. A content-based approach that utilizes a vector space model is employed in the development of a recommender method. The vector space model employs meal plans keywords to suggest similar items, and selection rules are used to identify relevant meal plan and fitness activity options. This approach has been incorporated into a mobile application for healthcare, allowing patients to receive personalized recommendations based on their lipid levels. To assess the usability of the mobile application, an initial user study was conducted, which showed that most respondents had a positive opinion of the application. In the future, the application could be integrated with a wider variety of meal plans and additional features. |
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Keywords |
lipid profile, self-monitoring, recommender, mobile application |
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