A prototype for intelligent diet recommendations by considering disease and medical condition of the patient

Suvendu Kumar Nayak, Mamata Garanayak, Sangram Keshari Swain and Bijay Kumar Paikaray

International Journal of Business and Systems Research, 2024, vol. 18, issue 6, 515-538

Abstract: The patient must follow a good diet to lessen the risk of health conditions. The body needs vitamins, minerals, and nutrients for illness prevention. When the human body does not receive the right amount of nutrients, nutritional disorders can develop, which can cause a number of different health issues. Chronic diseases like diabetes and hypertension can be brought on by dietary deficiencies. The human body receives the nutrients from a balanced diet to function properly. This research has a prototype that enables patients to find nutritious food according to their health preferences. It suggests meals based on their preferences for nutrients such as protein, fibre, high-fibre, low-fat, etc., and diseases such as pregnancy and diabetes. The process implements the recommendation based on the patient's profile (content-relied, K-NN), recommendation relied on patients with similar profiles, and recommendation based on the patient's past or recent activity.

Keywords: recommendation prototype; disease; patient's preferences; nutrition. (search for similar items in EconPapers)
Date: 2024
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